Overview

Dataset statistics

Number of variables121
Number of observations794
Missing cells14778
Missing cells (%)15.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 MiB
Average record size in memory4.4 KiB

Variable types

BOOL61
CAT60

Warnings

Animal_InteractionType_Visited the web site has 633 (79.7%) missing values Missing
Animal_InteractionType_Licensed my pet online has 633 (79.7%) missing values Missing
Animal_InteractionType_Licensed my pet in person has 633 (79.7%) missing values Missing
Animal_InteractionType_Issued a bylaw complaint has 633 (79.7%) missing values Missing
Animal_InteractionType_Searched for my lost pet has 633 (79.7%) missing values Missing
Animal_InteractionType_Reunited with a pet has 633 (79.7%) missing values Missing
Animal_InteractionType_Dropped off an animal or played a role in having an animal picked up has 633 (79.7%) missing values Missing
Animal_InteractionType_Borrowed a humane animal trap has 633 (79.7%) missing values Missing
Animal_InteractionType_Received a visit, warning or ticket from enforcement has 633 (79.7%) missing values Missing
Animal_InteractionType_WebCopy1_Licensed my pet online has 706 (88.9%) missing values Missing
Animal_InteractionType_WebCopy2_Licensed my pet in person has 774 (97.5%) missing values Missing
Animal_InteractionType_WebCopy3_Issued a bylaw complaint has 769 (96.9%) missing values Missing
Animal_InteractionType_WebCopy10_Searched for my lost pet has 782 (98.5%) missing values Missing
Animal_InteractionType_WebCopy4_Reunited with a pet has 785 (98.9%) missing values Missing
Animal_InteractionType_WebCopy5_Dropped off an animal or played a role in having an animal picked up has 765 (96.3%) missing values Missing
Animal_InteractionType_WebCopy6_Borrowing a humane animal trap has 790 (99.5%) missing values Missing
Animal_InteractionType_WebCopy7_Participated in an education/awareness event has 789 (99.4%) missing values Missing
Animal_InteractionType_WebCopy8_Received a visit, warning or ticket has 778 (98.0%) missing values Missing
Animal_InteractionType_WebCopy9_Received notification in the mail has 766 (96.5%) missing values Missing
Animal_InteractionType_WebCopy11_Other has 766 (96.5%) missing values Missing
Q3_Own_Rent (Study: Profiling Questionnaire 2014) has 34 (4.3%) missing values Missing
GENDER (Study: Profiling Questionnaire 2014) has 27 (3.4%) missing values Missing
Q7_Children (Study: Profiling Questionnaire 2014) has 32 (4.0%) missing values Missing
Q8_Born_Canada (Study: Profiling Questionnaire 2014) has 27 (3.4%) missing values Missing
Q9a_Edmonton (Study: Profiling Questionnaire 2014) has 34 (4.3%) missing values Missing
Q10_Own_Business (Study: Profiling Questionnaire 2014) has 27 (3.4%) missing values Missing
Q11_Home_Language (Study: Profiling Questionnaire 2014) has 27 (3.4%) missing values Missing
Q12_Employment_Status (Study: Profiling Questionnaire 2014) has 27 (3.4%) missing values Missing
Q13_Volunteer (Study: Profiling Questionnaire 2014) has 27 (3.4%) missing values Missing
Q14a_Primary_Transportation (Study: Profiling Questionnaire 2014) has 27 (3.4%) missing values Missing
Q14b_Secondary_Transportation (Study: Profiling Questionnaire 2014) has 27 (3.4%) missing values Missing
Q15_Household_Income (Study: Profiling Questionnaire 2014) has 27 (3.4%) missing values Missing
Q16_Education (Study: Profiling Questionnaire 2014) has 27 (3.4%) missing values Missing
Q17_City_Employee (Study: Profiling Questionnaire 2014) has 207 (26.1%) missing values Missing
FSA (Study: Profiling Questionnaire 2014) has 34 (4.3%) missing values Missing

Reproduction

Analysis started2020-12-12 23:41:32.573727
Analysis finished2020-12-12 23:42:00.774494
Duration28.2 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

ResponseDate
Categorical

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
08 December 2015
419 
11 December 2015
115 
09 December 2015
96 
10 December 2015
51 
12 December 2015
 
36
Other values (3)
77 
ValueCountFrequency (%) 
08 December 201541952.8%
 
11 December 201511514.5%
 
09 December 20159612.1%
 
10 December 2015516.4%
 
12 December 2015364.5%
 
13 December 2015344.3%
 
14 December 2015293.7%
 
15 December 2015141.8%
 
2020-12-12T18:42:00.840051image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:00.893597image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:00.968662image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length16
Median length16
Mean length16
Min length16

Overview of Unicode Properties

Unique unicode characters15
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e238218.8%
 
158812.5%
 
0136010.7%
 
111889.4%
 
28306.5%
 
58086.4%
 
D7946.2%
 
c7946.2%
 
m7946.2%
 
b7946.2%
 
r7946.2%
 
84193.3%
 
9960.8%
 
3340.3%
 
4290.2%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter555843.8%
 
Decimal Number476437.5%
 
Space Separator158812.5%
 
Uppercase Letter7946.2%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0136028.5%
 
1118824.9%
 
283017.4%
 
580817.0%
 
84198.8%
 
9962.0%
 
3340.7%
 
4290.6%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1588100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
D794100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e238242.9%
 
c79414.3%
 
m79414.3%
 
b79414.3%
 
r79414.3%
 

Most occurring scripts

ValueCountFrequency (%) 
Common635250.0%
 
Latin635250.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
158825.0%
 
0136021.4%
 
1118818.7%
 
283013.1%
 
580812.7%
 
84196.6%
 
9961.5%
 
3340.5%
 
4290.5%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e238237.5%
 
D79412.5%
 
c79412.5%
 
m79412.5%
 
b79412.5%
 
r79412.5%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII12704100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e238218.8%
 
158812.5%
 
0136010.7%
 
111889.4%
 
28306.5%
 
58086.4%
 
D7946.2%
 
c7946.2%
 
m7946.2%
 
b7946.2%
 
r7946.2%
 
84193.3%
 
9960.8%
 
3340.3%
 
4290.2%
 

CompletionDate
Categorical

Distinct9
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
December 08 2015
399 
December 11 2015
120 
December 09 2015
97 
December 10 2015
56 
December 12 2015
 
38
Other values (4)
84 
ValueCountFrequency (%) 
December 08 201539950.3%
 
December 11 201512015.1%
 
December 09 20159712.2%
 
December 10 2015567.1%
 
December 12 2015384.8%
 
December 13 2015374.7%
 
December 14 2015324.0%
 
December 15 2015141.8%
 
December 19 201510.1%
 
2020-12-12T18:42:01.041725image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.1%
2020-12-12T18:42:01.093770image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:01.173338image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length16
Median length16
Mean length16
Min length16

Overview of Unicode Properties

Unique unicode characters15
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e238218.8%
 
158812.5%
 
0134610.6%
 
112129.5%
 
28326.5%
 
58086.4%
 
D7946.2%
 
c7946.2%
 
m7946.2%
 
b7946.2%
 
r7946.2%
 
83993.1%
 
9980.8%
 
3370.3%
 
4320.3%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter555843.8%
 
Decimal Number476437.5%
 
Space Separator158812.5%
 
Uppercase Letter7946.2%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
D794100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e238242.9%
 
c79414.3%
 
m79414.3%
 
b79414.3%
 
r79414.3%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1588100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0134628.3%
 
1121225.4%
 
283217.5%
 
580817.0%
 
83998.4%
 
9982.1%
 
3370.8%
 
4320.7%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin635250.0%
 
Common635250.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e238237.5%
 
D79412.5%
 
c79412.5%
 
m79412.5%
 
b79412.5%
 
r79412.5%
 

Most frequent Common characters

ValueCountFrequency (%) 
158825.0%
 
0134621.2%
 
1121219.1%
 
283213.1%
 
580812.7%
 
83996.3%
 
9981.5%
 
3370.6%
 
4320.5%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII12704100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e238218.8%
 
158812.5%
 
0134610.6%
 
112129.5%
 
28326.5%
 
58086.4%
 
D7946.2%
 
c7946.2%
 
m7946.2%
 
b7946.2%
 
r7946.2%
 
83993.1%
 
9980.8%
 
3370.3%
 
4320.3%
 
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
659 
1
135 
ValueCountFrequency (%) 
065983.0%
 
113517.0%
 
2020-12-12T18:42:01.219878image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
747 
1
 
47
ValueCountFrequency (%) 
074794.1%
 
1475.9%
 
2020-12-12T18:42:01.245901image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
623 
1
171 
ValueCountFrequency (%) 
062378.5%
 
117121.5%
 
2020-12-12T18:42:01.271924image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
651 
1
143 
ValueCountFrequency (%) 
065182.0%
 
114318.0%
 
2020-12-12T18:42:01.298446image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
530 
1
264 
ValueCountFrequency (%) 
053066.8%
 
126433.2%
 
2020-12-12T18:42:01.324969image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
1
413 
0
381 
ValueCountFrequency (%) 
141352.0%
 
038148.0%
 
2020-12-12T18:42:01.350991image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
595 
1
199 
ValueCountFrequency (%) 
059574.9%
 
119925.1%
 
2020-12-12T18:42:01.377013image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
1
428 
0
366 
ValueCountFrequency (%) 
142853.9%
 
036646.1%
 
2020-12-12T18:42:01.403036image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
1
550 
0
244 
ValueCountFrequency (%) 
155069.3%
 
024430.7%
 
2020-12-12T18:42:01.429058image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
718 
1
76 
ValueCountFrequency (%) 
071890.4%
 
1769.6%
 
2020-12-12T18:42:01.456582image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
758 
1
 
36
ValueCountFrequency (%) 
075895.5%
 
1364.5%
 
2020-12-12T18:42:01.483105image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
729 
1
 
65
ValueCountFrequency (%) 
072991.8%
 
1658.2%
 
2020-12-12T18:42:01.509127image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
600 
1
194 
ValueCountFrequency (%) 
060075.6%
 
119424.4%
 
2020-12-12T18:42:01.535150image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
696 
1
98 
ValueCountFrequency (%) 
069687.7%
 
19812.3%
 
2020-12-12T18:42:01.561172image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
4 Somewhat agree
393 
5 Strongly agree
149 
2 Somewhat disagree
80 
3 Neither agree nor disagree
80 
I don't know
56 
ValueCountFrequency (%) 
4 Somewhat agree39349.5%
 
5 Strongly agree14918.8%
 
2 Somewhat disagree8010.1%
 
3 Neither agree nor disagree8010.1%
 
I don't know567.1%
 
1 Strongly disagree364.5%
 
2020-12-12T18:42:01.615218image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:01.669265image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:01.742828image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length16
Mean length17.36523929
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e226916.5%
 
174812.7%
 
a12919.4%
 
r11638.4%
 
g10037.3%
 
o8506.2%
 
t7945.8%
 
S6584.8%
 
h5534.0%
 
w5293.8%
 
m4733.4%
 
43932.9%
 
n3772.7%
 
i2762.0%
 
d2521.8%
 
s1961.4%
 
l1851.3%
 
y1851.3%
 
51491.1%
 
3800.6%
 
N800.6%
 
2800.6%
 
I560.4%
 
'560.4%
 
k560.4%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1045275.8%
 
Space Separator174812.7%
 
Uppercase Letter7945.8%
 
Decimal Number7385.4%
 
Other Punctuation560.4%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
439353.3%
 
514920.2%
 
38010.8%
 
28010.8%
 
1364.9%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1748100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S65882.9%
 
N8010.1%
 
I567.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e226921.7%
 
a129112.4%
 
r116311.1%
 
g10039.6%
 
o8508.1%
 
t7947.6%
 
h5535.3%
 
w5295.1%
 
m4734.5%
 
n3773.6%
 
i2762.6%
 
d2522.4%
 
s1961.9%
 
l1851.8%
 
y1851.8%
 
k560.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'56100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1124681.6%
 
Common254218.4%
 

Most frequent Common characters

ValueCountFrequency (%) 
174868.8%
 
439315.5%
 
51495.9%
 
3803.1%
 
2803.1%
 
'562.2%
 
1361.4%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e226920.2%
 
a129111.5%
 
r116310.3%
 
g10038.9%
 
o8507.6%
 
t7947.1%
 
S6585.9%
 
h5534.9%
 
w5294.7%
 
m4734.2%
 
n3773.4%
 
i2762.5%
 
d2522.2%
 
s1961.7%
 
l1851.6%
 
y1851.6%
 
N800.7%
 
I560.5%
 
k560.5%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII13788100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e226916.5%
 
174812.7%
 
a12919.4%
 
r11638.4%
 
g10037.3%
 
o8506.2%
 
t7945.8%
 
S6584.8%
 
h5534.0%
 
w5293.8%
 
m4733.4%
 
43932.9%
 
n3772.7%
 
i2762.0%
 
d2521.8%
 
s1961.4%
 
l1851.3%
 
y1851.3%
 
51491.1%
 
3800.6%
 
N800.6%
 
2800.6%
 
I560.4%
 
'560.4%
 
k560.4%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
4 Somewhat agree
290 
5 Strongly agree
228 
I don't know
157 
3 Neither agree nor disagree
85 
2 Somewhat disagree
 
25
ValueCountFrequency (%) 
4 Somewhat agree29036.5%
 
5 Strongly agree22828.7%
 
I don't know15719.8%
 
3 Neither agree nor disagree8510.7%
 
2 Somewhat disagree253.1%
 
1 Strongly disagree91.1%
 
2020-12-12T18:42:01.821896image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:01.872940image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:01.944502image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length16
Mean length16.62216625
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e192914.6%
 
175813.3%
 
r11298.6%
 
a10377.9%
 
g9597.3%
 
o9517.2%
 
t7946.0%
 
n6364.8%
 
S5524.2%
 
w4723.6%
 
h4003.0%
 
m3152.4%
 
42902.2%
 
d2762.1%
 
l2371.8%
 
y2371.8%
 
52281.7%
 
i2041.5%
 
I1571.2%
 
'1571.2%
 
k1571.2%
 
s1190.9%
 
3850.6%
 
N850.6%
 
2250.2%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter985274.6%
 
Space Separator175813.3%
 
Uppercase Letter7946.0%
 
Decimal Number6374.8%
 
Other Punctuation1571.2%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
429045.5%
 
522835.8%
 
38513.3%
 
2253.9%
 
191.4%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1758100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S55269.5%
 
I15719.8%
 
N8510.7%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e192919.6%
 
r112911.5%
 
a103710.5%
 
g9599.7%
 
o9519.7%
 
t7948.1%
 
n6366.5%
 
w4724.8%
 
h4004.1%
 
m3153.2%
 
d2762.8%
 
l2372.4%
 
y2372.4%
 
i2042.1%
 
k1571.6%
 
s1191.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'157100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1064680.7%
 
Common255219.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
175868.9%
 
429011.4%
 
52288.9%
 
'1576.2%
 
3853.3%
 
2251.0%
 
190.4%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e192918.1%
 
r112910.6%
 
a10379.7%
 
g9599.0%
 
o9518.9%
 
t7947.5%
 
n6366.0%
 
S5525.2%
 
w4724.4%
 
h4003.8%
 
m3153.0%
 
d2762.6%
 
l2372.2%
 
y2372.2%
 
i2041.9%
 
I1571.5%
 
k1571.5%
 
s1191.1%
 
N850.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII13198100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e192914.6%
 
175813.3%
 
r11298.6%
 
a10377.9%
 
g9597.3%
 
o9517.2%
 
t7946.0%
 
n6364.8%
 
S5524.2%
 
w4723.6%
 
h4003.0%
 
m3152.4%
 
42902.2%
 
d2762.1%
 
l2371.8%
 
y2371.8%
 
52281.7%
 
i2041.5%
 
I1571.2%
 
'1571.2%
 
k1571.2%
 
s1190.9%
 
3850.6%
 
N850.6%
 
2250.2%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
4 Somewhat agree
259 
5 Strongly agree
241 
3 Neither agree nor disagree
140 
I don't know
130 
2 Somewhat disagree
 
16
ValueCountFrequency (%) 
4 Somewhat agree25932.6%
 
5 Strongly agree24130.4%
 
3 Neither agree nor disagree14017.6%
 
I don't know13016.4%
 
2 Somewhat disagree162.0%
 
1 Strongly disagree81.0%
 
2020-12-12T18:42:02.019566image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:02.068108image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:02.138669image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length16
Mean length17.55163728
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e216315.5%
 
186813.4%
 
r13339.6%
 
a10797.7%
 
g10537.6%
 
o9246.6%
 
t7945.7%
 
n6494.7%
 
S5243.8%
 
h4153.0%
 
w4052.9%
 
i3042.2%
 
d2942.1%
 
m2752.0%
 
42591.9%
 
l2491.8%
 
y2491.8%
 
52411.7%
 
s1641.2%
 
31401.0%
 
N1401.0%
 
I1300.9%
 
'1300.9%
 
k1300.9%
 
2160.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1048075.2%
 
Space Separator186813.4%
 
Uppercase Letter7945.7%
 
Decimal Number6644.8%
 
Other Punctuation1300.9%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
425939.0%
 
524136.3%
 
314021.1%
 
2162.4%
 
181.2%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1868100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S52466.0%
 
N14017.6%
 
I13016.4%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e216320.6%
 
r133312.7%
 
a107910.3%
 
g105310.0%
 
o9248.8%
 
t7947.6%
 
n6496.2%
 
h4154.0%
 
w4053.9%
 
i3042.9%
 
d2942.8%
 
m2752.6%
 
l2492.4%
 
y2492.4%
 
s1641.6%
 
k1301.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'130100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1127480.9%
 
Common266219.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
186870.2%
 
42599.7%
 
52419.1%
 
31405.3%
 
'1304.9%
 
2160.6%
 
180.3%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e216319.2%
 
r133311.8%
 
a10799.6%
 
g10539.3%
 
o9248.2%
 
t7947.0%
 
n6495.8%
 
S5244.6%
 
h4153.7%
 
w4053.6%
 
i3042.7%
 
d2942.6%
 
m2752.4%
 
l2492.2%
 
y2492.2%
 
s1641.5%
 
N1401.2%
 
I1301.2%
 
k1301.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII13936100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e216315.5%
 
186813.4%
 
r13339.6%
 
a10797.7%
 
g10537.6%
 
o9246.6%
 
t7945.7%
 
n6494.7%
 
S5243.8%
 
h4153.0%
 
w4052.9%
 
i3042.2%
 
d2942.1%
 
m2752.0%
 
42591.9%
 
l2491.8%
 
y2491.8%
 
52411.7%
 
s1641.2%
 
31401.0%
 
N1401.0%
 
I1300.9%
 
'1300.9%
 
k1300.9%
 
2160.1%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2 Somewhat disagree
208 
3 Neither agree nor disagree
172 
4 Somewhat agree
158 
1 Strongly disagree
104 
I don't know
83 
ValueCountFrequency (%) 
2 Somewhat disagree20826.2%
 
3 Neither agree nor disagree17221.7%
 
4 Somewhat agree15819.9%
 
1 Strongly disagree10413.1%
 
I don't know8310.5%
 
5 Strongly agree698.7%
 
2020-12-12T18:42:02.214234image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:02.263777image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:02.334838image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length19
Mean length19.36020151
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e247616.1%
 
193212.6%
 
r14009.1%
 
a12498.1%
 
g10566.9%
 
o8775.7%
 
t7945.2%
 
i6564.3%
 
d5673.7%
 
S5393.5%
 
h5383.5%
 
n5113.3%
 
s4843.1%
 
w4492.9%
 
m3662.4%
 
22081.4%
 
l1731.1%
 
y1731.1%
 
31721.1%
 
N1721.1%
 
41581.0%
 
11040.7%
 
I830.5%
 
'830.5%
 
k830.5%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1185277.1%
 
Space Separator193212.6%
 
Uppercase Letter7945.2%
 
Decimal Number7114.6%
 
Other Punctuation830.5%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
220829.3%
 
317224.2%
 
415822.2%
 
110414.6%
 
5699.7%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1932100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S53967.9%
 
N17221.7%
 
I8310.5%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e247620.9%
 
r140011.8%
 
a124910.5%
 
g10568.9%
 
o8777.4%
 
t7946.7%
 
i6565.5%
 
d5674.8%
 
h5384.5%
 
n5114.3%
 
s4844.1%
 
w4493.8%
 
m3663.1%
 
l1731.5%
 
y1731.5%
 
k830.7%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'83100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1264682.3%
 
Common272617.7%
 

Most frequent Common characters

ValueCountFrequency (%) 
193270.9%
 
22087.6%
 
31726.3%
 
41585.8%
 
11043.8%
 
'833.0%
 
5692.5%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e247619.6%
 
r140011.1%
 
a12499.9%
 
g10568.4%
 
o8776.9%
 
t7946.3%
 
i6565.2%
 
d5674.5%
 
S5394.3%
 
h5384.3%
 
n5114.0%
 
s4843.8%
 
w4493.6%
 
m3662.9%
 
l1731.4%
 
y1731.4%
 
N1721.4%
 
I830.7%
 
k830.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII15372100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e247616.1%
 
193212.6%
 
r14009.1%
 
a12498.1%
 
g10566.9%
 
o8775.7%
 
t7945.2%
 
i6564.3%
 
d5673.7%
 
S5393.5%
 
h5383.5%
 
n5113.3%
 
s4843.1%
 
w4492.9%
 
m3662.4%
 
22081.4%
 
l1731.1%
 
y1731.1%
 
31721.1%
 
N1721.1%
 
41581.0%
 
11040.7%
 
I830.5%
 
'830.5%
 
k830.5%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I don't know
287 
3 Neither agree nor disagree
172 
4 Somewhat agree
169 
5 Strongly agree
105 
2 Somewhat disagree
49 
ValueCountFrequency (%) 
I don't know28736.1%
 
3 Neither agree nor disagree17221.7%
 
4 Somewhat agree16921.3%
 
5 Strongly agree10513.2%
 
2 Somewhat disagree496.2%
 
1 Strongly disagree121.5%
 
2020-12-12T18:42:02.410403image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:02.461447image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:02.534009image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length16
Mean length17.38413098
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
193214.0%
 
e192013.9%
 
r11408.3%
 
o10817.8%
 
a8976.5%
 
n8636.3%
 
g7965.8%
 
t7945.8%
 
d5203.8%
 
w5053.7%
 
i4052.9%
 
h3902.8%
 
S3352.4%
 
I2872.1%
 
'2872.1%
 
k2872.1%
 
s2331.7%
 
m2181.6%
 
31721.2%
 
N1721.2%
 
41691.2%
 
l1170.8%
 
y1170.8%
 
51050.8%
 
2490.4%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1028374.5%
 
Space Separator193214.0%
 
Uppercase Letter7945.8%
 
Decimal Number5073.7%
 
Other Punctuation2872.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S33542.2%
 
I28736.1%
 
N17221.7%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1932100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e192018.7%
 
r114011.1%
 
o108110.5%
 
a8978.7%
 
n8638.4%
 
g7967.7%
 
t7947.7%
 
d5205.1%
 
w5054.9%
 
i4053.9%
 
h3903.8%
 
k2872.8%
 
s2332.3%
 
m2182.1%
 
l1171.1%
 
y1171.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'287100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
317233.9%
 
416933.3%
 
510520.7%
 
2499.7%
 
1122.4%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1107780.3%
 
Common272619.7%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e192017.3%
 
r114010.3%
 
o10819.8%
 
a8978.1%
 
n8637.8%
 
g7967.2%
 
t7947.2%
 
d5204.7%
 
w5054.6%
 
i4053.7%
 
h3903.5%
 
S3353.0%
 
I2872.6%
 
k2872.6%
 
s2332.1%
 
m2182.0%
 
N1721.6%
 
l1171.1%
 
y1171.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
193270.9%
 
'28710.5%
 
31726.3%
 
41696.2%
 
51053.9%
 
2491.8%
 
1120.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII13803100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
193214.0%
 
e192013.9%
 
r11408.3%
 
o10817.8%
 
a8976.5%
 
n8636.3%
 
g7965.8%
 
t7945.8%
 
d5203.8%
 
w5053.7%
 
i4052.9%
 
h3902.8%
 
S3352.4%
 
I2872.1%
 
'2872.1%
 
k2872.1%
 
s2331.7%
 
m2181.6%
 
31721.2%
 
N1721.2%
 
41691.2%
 
l1170.8%
 
y1170.8%
 
51050.8%
 
2490.4%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I don't know
247 
4 Somewhat effective
224 
3 Neutral
113 
5 Very effective
95 
2 Somewhat ineffective
94 
ValueCountFrequency (%) 
I don't know24731.1%
 
4 Somewhat effective22428.2%
 
3 Neutral11314.2%
 
5 Very effective9512.0%
 
2 Somewhat ineffective9411.8%
 
1 Not at all effective212.6%
 
2020-12-12T18:42:02.610075image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:02.657615image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:02.727175image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length22
Median length16
Mean length15.75692695
Min length9

Overview of Unicode Properties

Unique unicode characters29
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e182814.6%
 
151712.1%
 
t11549.2%
 
f8686.9%
 
o8336.7%
 
n5884.7%
 
w5654.5%
 
i5284.2%
 
a4733.8%
 
c4343.5%
 
v4343.5%
 
S3182.5%
 
m3182.5%
 
h3182.5%
 
I2472.0%
 
d2472.0%
 
'2472.0%
 
k2472.0%
 
42241.8%
 
r2081.7%
 
l1551.2%
 
N1341.1%
 
31130.9%
 
u1130.9%
 
5950.8%
 
Other values (4)3052.4%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter940675.2%
 
Space Separator151712.1%
 
Uppercase Letter7946.3%
 
Decimal Number5474.4%
 
Other Punctuation2472.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
422441.0%
 
311320.7%
 
59517.4%
 
29417.2%
 
1213.8%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1517100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S31840.1%
 
I24731.1%
 
N13416.9%
 
V9512.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e182819.4%
 
t115412.3%
 
f8689.2%
 
o8338.9%
 
n5886.3%
 
w5656.0%
 
i5285.6%
 
a4735.0%
 
c4344.6%
 
v4344.6%
 
m3183.4%
 
h3183.4%
 
d2472.6%
 
k2472.6%
 
r2082.2%
 
l1551.6%
 
u1131.2%
 
y951.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'247100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1020081.5%
 
Common231118.5%
 

Most frequent Common characters

ValueCountFrequency (%) 
151765.6%
 
'24710.7%
 
42249.7%
 
31134.9%
 
5954.1%
 
2944.1%
 
1210.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e182817.9%
 
t115411.3%
 
f8688.5%
 
o8338.2%
 
n5885.8%
 
w5655.5%
 
i5285.2%
 
a4734.6%
 
c4344.3%
 
v4344.3%
 
S3183.1%
 
m3183.1%
 
h3183.1%
 
I2472.4%
 
d2472.4%
 
k2472.4%
 
r2082.0%
 
l1551.5%
 
N1341.3%
 
u1131.1%
 
V950.9%
 
y950.9%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII12511100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e182814.6%
 
151712.1%
 
t11549.2%
 
f8686.9%
 
o8336.7%
 
n5884.7%
 
w5654.5%
 
i5284.2%
 
a4733.8%
 
c4343.5%
 
v4343.5%
 
S3182.5%
 
m3182.5%
 
h3182.5%
 
I2472.0%
 
d2472.0%
 
'2472.0%
 
k2472.0%
 
42241.8%
 
r2081.7%
 
l1551.2%
 
N1341.1%
 
31130.9%
 
u1130.9%
 
5950.8%
 
Other values (4)3052.4%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I don't know
244 
3 Neutral
153 
2 Somewhat ineffective
136 
4 Somewhat effective
136 
1 Not at all effective
96 
ValueCountFrequency (%) 
I don't know24430.7%
 
3 Neutral15319.3%
 
2 Somewhat ineffective13617.1%
 
4 Somewhat effective13617.1%
 
1 Not at all effective9612.1%
 
5 Very effective293.7%
 
2020-12-12T18:42:02.800238image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:02.848279image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:02.917839image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length22
Median length14
Mean length15.86020151
Min length9

Overview of Unicode Properties

Unique unicode characters29
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e164513.1%
 
162712.9%
 
t125810.0%
 
o8566.8%
 
f7946.3%
 
n6245.0%
 
a6174.9%
 
i5334.2%
 
w5164.1%
 
c3973.2%
 
v3973.2%
 
l3452.7%
 
S2722.2%
 
m2722.2%
 
h2722.2%
 
N2492.0%
 
I2441.9%
 
d2441.9%
 
'2441.9%
 
k2441.9%
 
r1821.4%
 
31531.2%
 
u1531.2%
 
21361.1%
 
41361.1%
 
Other values (4)1831.5%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter937874.5%
 
Space Separator162712.9%
 
Uppercase Letter7946.3%
 
Decimal Number5504.4%
 
Other Punctuation2441.9%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S27234.3%
 
N24931.4%
 
I24430.7%
 
V293.7%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1627100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e164517.5%
 
t125813.4%
 
o8569.1%
 
f7948.5%
 
n6246.7%
 
a6176.6%
 
i5335.7%
 
w5165.5%
 
c3974.2%
 
v3974.2%
 
l3453.7%
 
m2722.9%
 
h2722.9%
 
d2442.6%
 
k2442.6%
 
r1821.9%
 
u1531.6%
 
y290.3%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'244100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
315327.8%
 
213624.7%
 
413624.7%
 
19617.5%
 
5295.3%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1017280.8%
 
Common242119.2%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e164516.2%
 
t125812.4%
 
o8568.4%
 
f7947.8%
 
n6246.1%
 
a6176.1%
 
i5335.2%
 
w5165.1%
 
c3973.9%
 
v3973.9%
 
l3453.4%
 
S2722.7%
 
m2722.7%
 
h2722.7%
 
N2492.4%
 
I2442.4%
 
d2442.4%
 
k2442.4%
 
r1821.8%
 
u1531.5%
 
V290.3%
 
y290.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
162767.2%
 
'24410.1%
 
31536.3%
 
21365.6%
 
41365.6%
 
1964.0%
 
5291.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII12593100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e164513.1%
 
162712.9%
 
t125810.0%
 
o8566.8%
 
f7946.3%
 
n6245.0%
 
a6174.9%
 
i5334.2%
 
w5164.1%
 
c3973.2%
 
v3973.2%
 
l3452.7%
 
S2722.2%
 
m2722.2%
 
h2722.2%
 
N2492.0%
 
I2441.9%
 
d2441.9%
 
'2441.9%
 
k2441.9%
 
r1821.4%
 
31531.2%
 
u1531.2%
 
21361.1%
 
41361.1%
 
Other values (4)1831.5%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I don't know
255 
1 Not at all effective
165 
2 Somewhat ineffective
160 
3 Neutral
135 
4 Somewhat effective
68 
ValueCountFrequency (%) 
I don't know25532.1%
 
1 Not at all effective16520.8%
 
2 Somewhat ineffective16020.2%
 
3 Neutral13517.0%
 
4 Somewhat effective688.6%
 
5 Very effective111.4%
 
2020-12-12T18:42:02.989901image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:03.035941image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:03.107002image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length22
Median length16
Mean length16.32367758
Min length9

Overview of Unicode Properties

Unique unicode characters29
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
178313.8%
 
e158612.2%
 
t135210.4%
 
o9037.0%
 
f8086.2%
 
a6935.3%
 
n6705.2%
 
i5644.4%
 
w4833.7%
 
l4653.6%
 
c4043.1%
 
v4043.1%
 
N3002.3%
 
I2552.0%
 
d2552.0%
 
'2552.0%
 
k2552.0%
 
S2281.8%
 
m2281.8%
 
h2281.8%
 
11651.3%
 
21601.2%
 
r1461.1%
 
31351.0%
 
u1351.0%
 
Other values (4)1010.8%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter959074.0%
 
Space Separator178313.8%
 
Uppercase Letter7946.1%
 
Decimal Number5394.2%
 
Other Punctuation2552.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
N30037.8%
 
I25532.1%
 
S22828.7%
 
V111.4%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1783100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e158616.5%
 
t135214.1%
 
o9039.4%
 
f8088.4%
 
a6937.2%
 
n6707.0%
 
i5645.9%
 
w4835.0%
 
l4654.8%
 
c4044.2%
 
v4044.2%
 
d2552.7%
 
k2552.7%
 
m2282.4%
 
h2282.4%
 
r1461.5%
 
u1351.4%
 
y110.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'255100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
116530.6%
 
216029.7%
 
313525.0%
 
46812.6%
 
5112.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1038480.1%
 
Common257719.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e158615.3%
 
t135213.0%
 
o9038.7%
 
f8087.8%
 
a6936.7%
 
n6706.5%
 
i5645.4%
 
w4834.7%
 
l4654.5%
 
c4043.9%
 
v4043.9%
 
N3002.9%
 
I2552.5%
 
d2552.5%
 
k2552.5%
 
S2282.2%
 
m2282.2%
 
h2282.2%
 
r1461.4%
 
u1351.3%
 
V110.1%
 
y110.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
178369.2%
 
'2559.9%
 
11656.4%
 
21606.2%
 
31355.2%
 
4682.6%
 
5110.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII12961100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
178313.8%
 
e158612.2%
 
t135210.4%
 
o9037.0%
 
f8086.2%
 
a6935.3%
 
n6705.2%
 
i5644.4%
 
w4833.7%
 
l4653.6%
 
c4043.1%
 
v4043.1%
 
N3002.3%
 
I2552.0%
 
d2552.0%
 
'2552.0%
 
k2552.0%
 
S2281.8%
 
m2281.8%
 
h2281.8%
 
11651.3%
 
21601.2%
 
r1461.1%
 
31351.0%
 
u1351.0%
 
Other values (4)1010.8%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I don't know
226 
2 Somewhat ineffective
158 
4 Somewhat effective
135 
1 Not at all effective
128 
3 Neutral
126 
ValueCountFrequency (%) 
I don't know22628.5%
 
2 Somewhat ineffective15819.9%
 
4 Somewhat effective13517.0%
 
1 Not at all effective12816.1%
 
3 Neutral12615.9%
 
5 Very effective212.6%
 
2020-12-12T18:42:03.176562image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:03.220600image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:03.292161image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length22
Median length20
Mean length16.59193955
Min length9

Overview of Unicode Properties

Unique unicode characters29
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e176613.4%
 
171813.0%
 
t134310.2%
 
f8846.7%
 
o8736.6%
 
a6755.1%
 
n6104.6%
 
i6004.6%
 
w5193.9%
 
c4423.4%
 
v4423.4%
 
l3822.9%
 
S2932.2%
 
m2932.2%
 
h2932.2%
 
N2541.9%
 
I2261.7%
 
d2261.7%
 
'2261.7%
 
k2261.7%
 
21581.2%
 
r1471.1%
 
41351.0%
 
11281.0%
 
31261.0%
 
Other values (4)1891.4%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter986874.9%
 
Space Separator171813.0%
 
Uppercase Letter7946.0%
 
Decimal Number5684.3%
 
Other Punctuation2261.7%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
215827.8%
 
413523.8%
 
112822.5%
 
312622.2%
 
5213.7%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1718100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S29336.9%
 
N25432.0%
 
I22628.5%
 
V212.6%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e176617.9%
 
t134313.6%
 
f8849.0%
 
o8738.8%
 
a6756.8%
 
n6106.2%
 
i6006.1%
 
w5195.3%
 
c4424.5%
 
v4424.5%
 
l3823.9%
 
m2933.0%
 
h2933.0%
 
d2262.3%
 
k2262.3%
 
r1471.5%
 
u1261.3%
 
y210.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'226100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1066280.9%
 
Common251219.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
171868.4%
 
'2269.0%
 
21586.3%
 
41355.4%
 
11285.1%
 
31265.0%
 
5210.8%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e176616.6%
 
t134312.6%
 
f8848.3%
 
o8738.2%
 
a6756.3%
 
n6105.7%
 
i6005.6%
 
w5194.9%
 
c4424.1%
 
v4424.1%
 
l3823.6%
 
S2932.7%
 
m2932.7%
 
h2932.7%
 
N2542.4%
 
I2262.1%
 
d2262.1%
 
k2262.1%
 
r1471.4%
 
u1261.2%
 
V210.2%
 
y210.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII13174100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e176613.4%
 
171813.0%
 
t134310.2%
 
f8846.7%
 
o8736.6%
 
a6755.1%
 
n6104.6%
 
i6004.6%
 
w5193.9%
 
c4423.4%
 
v4423.4%
 
l3822.9%
 
S2932.2%
 
m2932.2%
 
h2932.2%
 
N2541.9%
 
I2261.7%
 
d2261.7%
 
'2261.7%
 
k2261.7%
 
21581.2%
 
r1471.1%
 
41351.0%
 
11281.0%
 
31261.0%
 
Other values (4)1891.4%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I don't know
277 
3 Neutral
158 
2 Somewhat ineffective
143 
4 Somewhat effective
111 
1 Not at all effective
92 
ValueCountFrequency (%) 
I don't know27734.9%
 
3 Neutral15819.9%
 
2 Somewhat ineffective14318.0%
 
4 Somewhat effective11114.0%
 
1 Not at all effective9211.6%
 
5 Very effective131.6%
 
2020-12-12T18:42:03.367726image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:03.416769image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:03.487830image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length22
Median length12
Mean length15.5465995
Min length9

Overview of Unicode Properties

Unique unicode characters29
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
161413.1%
 
e150212.2%
 
t123210.0%
 
o9007.3%
 
f7185.8%
 
n6975.6%
 
a5964.8%
 
w5314.3%
 
i5024.1%
 
c3592.9%
 
v3592.9%
 
l3422.8%
 
I2772.2%
 
d2772.2%
 
'2772.2%
 
k2772.2%
 
S2542.1%
 
m2542.1%
 
h2542.1%
 
N2502.0%
 
r1711.4%
 
31581.3%
 
u1581.3%
 
21431.2%
 
41110.9%
 
Other values (4)1311.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter914274.1%
 
Space Separator161413.1%
 
Uppercase Letter7946.4%
 
Decimal Number5174.2%
 
Other Punctuation2772.2%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
315830.6%
 
214327.7%
 
411121.5%
 
19217.8%
 
5132.5%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1614100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
I27734.9%
 
S25432.0%
 
N25031.5%
 
V131.6%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e150216.4%
 
t123213.5%
 
o9009.8%
 
f7187.9%
 
n6977.6%
 
a5966.5%
 
w5315.8%
 
i5025.5%
 
c3593.9%
 
v3593.9%
 
l3423.7%
 
d2773.0%
 
k2773.0%
 
m2542.8%
 
h2542.8%
 
r1711.9%
 
u1581.7%
 
y130.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'277100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin993680.5%
 
Common240819.5%
 

Most frequent Common characters

ValueCountFrequency (%) 
161467.0%
 
'27711.5%
 
31586.6%
 
21435.9%
 
41114.6%
 
1923.8%
 
5130.5%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e150215.1%
 
t123212.4%
 
o9009.1%
 
f7187.2%
 
n6977.0%
 
a5966.0%
 
w5315.3%
 
i5025.1%
 
c3593.6%
 
v3593.6%
 
l3423.4%
 
I2772.8%
 
d2772.8%
 
k2772.8%
 
S2542.6%
 
m2542.6%
 
h2542.6%
 
N2502.5%
 
r1711.7%
 
u1581.6%
 
V130.1%
 
y130.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII12344100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
161413.1%
 
e150212.2%
 
t123210.0%
 
o9007.3%
 
f7185.8%
 
n6975.6%
 
a5964.8%
 
w5314.3%
 
i5024.1%
 
c3592.9%
 
v3592.9%
 
l3422.8%
 
I2772.2%
 
d2772.2%
 
'2772.2%
 
k2772.2%
 
S2542.1%
 
m2542.1%
 
h2542.1%
 
N2502.0%
 
r1711.4%
 
31581.3%
 
u1581.3%
 
21431.2%
 
41110.9%
 
Other values (4)1311.1%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I don't know
351 
3 Neutral
164 
2 Somewhat ineffective
108 
4 Somewhat effective
84 
1 Not at all effective
71 
ValueCountFrequency (%) 
I don't know35144.2%
 
3 Neutral16420.7%
 
2 Somewhat ineffective10813.6%
 
4 Somewhat effective8410.6%
 
1 Not at all effective718.9%
 
5 Very effective162.0%
 
2020-12-12T18:42:03.564396image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:03.615440image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:03.684999image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length22
Median length12
Mean length14.56171285
Min length9

Overview of Unicode Properties

Unique unicode characters29
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
156613.5%
 
e120910.5%
 
t11289.8%
 
o9658.3%
 
n8107.0%
 
f5584.8%
 
w5434.7%
 
a4984.3%
 
i3873.3%
 
I3513.0%
 
d3513.0%
 
'3513.0%
 
k3513.0%
 
l3062.6%
 
c2792.4%
 
v2792.4%
 
N2352.0%
 
S1921.7%
 
m1921.7%
 
h1921.7%
 
r1801.6%
 
31641.4%
 
u1641.4%
 
21080.9%
 
4840.7%
 
Other values (4)1191.0%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter840872.7%
 
Space Separator156613.5%
 
Uppercase Letter7946.9%
 
Decimal Number4433.8%
 
Other Punctuation3513.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
I35144.2%
 
N23529.6%
 
S19224.2%
 
V162.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1566100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e120914.4%
 
t112813.4%
 
o96511.5%
 
n8109.6%
 
f5586.6%
 
w5436.5%
 
a4985.9%
 
i3874.6%
 
d3514.2%
 
k3514.2%
 
l3063.6%
 
c2793.3%
 
v2793.3%
 
m1922.3%
 
h1922.3%
 
r1802.1%
 
u1642.0%
 
y160.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'351100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
316437.0%
 
210824.4%
 
48419.0%
 
17116.0%
 
5163.6%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin920279.6%
 
Common236020.4%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e120913.1%
 
t112812.3%
 
o96510.5%
 
n8108.8%
 
f5586.1%
 
w5435.9%
 
a4985.4%
 
i3874.2%
 
I3513.8%
 
d3513.8%
 
k3513.8%
 
l3063.3%
 
c2793.0%
 
v2793.0%
 
N2352.6%
 
S1922.1%
 
m1922.1%
 
h1922.1%
 
r1802.0%
 
u1641.8%
 
V160.2%
 
y160.2%
 

Most frequent Common characters

ValueCountFrequency (%) 
156666.4%
 
'35114.9%
 
31646.9%
 
21084.6%
 
4843.6%
 
1713.0%
 
5160.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII11562100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
156613.5%
 
e120910.5%
 
t11289.8%
 
o9658.3%
 
n8107.0%
 
f5584.8%
 
w5434.7%
 
a4984.3%
 
i3873.3%
 
I3513.0%
 
d3513.0%
 
'3513.0%
 
k3513.0%
 
l3062.6%
 
c2792.4%
 
v2792.4%
 
N2352.0%
 
S1921.7%
 
m1921.7%
 
h1921.7%
 
r1801.6%
 
31641.4%
 
u1641.4%
 
21080.9%
 
4840.7%
 
Other values (4)1191.0%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I don't know
369 
4 Somewhat effective
152 
3 Neutral
144 
2 Somewhat ineffective
59 
5 Very effective
40 
ValueCountFrequency (%) 
I don't know36946.5%
 
4 Somewhat effective15219.1%
 
3 Neutral14418.1%
 
2 Somewhat ineffective597.4%
 
5 Very effective405.0%
 
1 Not at all effective303.8%
 
2020-12-12T18:42:03.759564image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:03.808606image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:03.879167image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length22
Median length12
Mean length14.30982368
Min length9

Overview of Unicode Properties

Unique unicode characters29
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
150413.2%
 
e123810.9%
 
t10659.4%
 
o9798.6%
 
n7977.0%
 
w5805.1%
 
f5624.9%
 
a4153.7%
 
I3693.2%
 
d3693.2%
 
'3693.2%
 
k3693.2%
 
i3403.0%
 
c2812.5%
 
v2812.5%
 
S2111.9%
 
m2111.9%
 
h2111.9%
 
l2041.8%
 
r1841.6%
 
N1741.5%
 
41521.3%
 
31441.3%
 
u1441.3%
 
2590.5%
 
Other values (4)1501.3%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter827072.8%
 
Space Separator150413.2%
 
Uppercase Letter7947.0%
 
Decimal Number4253.7%
 
Other Punctuation3693.2%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
415235.8%
 
314433.9%
 
25913.9%
 
5409.4%
 
1307.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1504100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
I36946.5%
 
S21126.6%
 
N17421.9%
 
V405.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e123815.0%
 
t106512.9%
 
o97911.8%
 
n7979.6%
 
w5807.0%
 
f5626.8%
 
a4155.0%
 
d3694.5%
 
k3694.5%
 
i3404.1%
 
c2813.4%
 
v2813.4%
 
m2112.6%
 
h2112.6%
 
l2042.5%
 
r1842.2%
 
u1441.7%
 
y400.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'369100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin906479.8%
 
Common229820.2%
 

Most frequent Common characters

ValueCountFrequency (%) 
150465.4%
 
'36916.1%
 
41526.6%
 
31446.3%
 
2592.6%
 
5401.7%
 
1301.3%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e123813.7%
 
t106511.7%
 
o97910.8%
 
n7978.8%
 
w5806.4%
 
f5626.2%
 
a4154.6%
 
I3694.1%
 
d3694.1%
 
k3694.1%
 
i3403.8%
 
c2813.1%
 
v2813.1%
 
S2112.3%
 
m2112.3%
 
h2112.3%
 
l2042.3%
 
r1842.0%
 
N1741.9%
 
u1441.6%
 
V400.4%
 
y400.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII11362100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
150413.2%
 
e123810.9%
 
t10659.4%
 
o9798.6%
 
n7977.0%
 
w5805.1%
 
f5624.9%
 
a4153.7%
 
I3693.2%
 
d3693.2%
 
'3693.2%
 
k3693.2%
 
i3403.0%
 
c2812.5%
 
v2812.5%
 
S2111.9%
 
m2111.9%
 
h2111.9%
 
l2041.8%
 
r1841.6%
 
N1741.5%
 
41521.3%
 
31441.3%
 
u1441.3%
 
2590.5%
 
Other values (4)1501.3%
 
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Don't know
523 
No
185 
Yes
86 
ValueCountFrequency (%) 
Don't know52365.9%
 
No18523.3%
 
Yes8610.8%
 
2020-12-12T18:42:03.950228image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:03.994266image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:04.047812image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length10
Mean length7.377833753
Min length2

Overview of Unicode Properties

Unique unicode characters12
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
o123121.0%
 
n104617.9%
 
D5238.9%
 
'5238.9%
 
t5238.9%
 
5238.9%
 
k5238.9%
 
w5238.9%
 
N1853.2%
 
Y861.5%
 
e861.5%
 
s861.5%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter401868.6%
 
Uppercase Letter79413.6%
 
Other Punctuation5238.9%
 
Space Separator5238.9%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
D52365.9%
 
N18523.3%
 
Y8610.8%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
o123130.6%
 
n104626.0%
 
t52313.0%
 
k52313.0%
 
w52313.0%
 
e862.1%
 
s862.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'523100.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
523100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin481282.1%
 
Common104617.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
o123125.6%
 
n104621.7%
 
D52310.9%
 
t52310.9%
 
k52310.9%
 
w52310.9%
 
N1853.8%
 
Y861.8%
 
e861.8%
 
s861.8%
 

Most frequent Common characters

ValueCountFrequency (%) 
'52350.0%
 
52350.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII5858100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
o123121.0%
 
n104617.9%
 
D5238.9%
 
'5238.9%
 
t5238.9%
 
5238.9%
 
k5238.9%
 
w5238.9%
 
N1853.2%
 
Y861.5%
 
e861.5%
 
s861.5%
 
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Don't know
576 
Yes
111 
No
107 
ValueCountFrequency (%) 
Don't know57672.5%
 
Yes11114.0%
 
No10713.5%
 
2020-12-12T18:42:04.120374image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:04.163912image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:04.217958image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length10
Mean length7.943324937
Min length2

Overview of Unicode Properties

Unique unicode characters12
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
o125920.0%
 
n115218.3%
 
D5769.1%
 
'5769.1%
 
t5769.1%
 
5769.1%
 
k5769.1%
 
w5769.1%
 
Y1111.8%
 
e1111.8%
 
s1111.8%
 
N1071.7%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter436169.1%
 
Uppercase Letter79412.6%
 
Other Punctuation5769.1%
 
Space Separator5769.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
D57672.5%
 
Y11114.0%
 
N10713.5%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
o125928.9%
 
n115226.4%
 
t57613.2%
 
k57613.2%
 
w57613.2%
 
e1112.5%
 
s1112.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'576100.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
576100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin515581.7%
 
Common115218.3%
 

Most frequent Latin characters

ValueCountFrequency (%) 
o125924.4%
 
n115222.3%
 
D57611.2%
 
t57611.2%
 
k57611.2%
 
w57611.2%
 
Y1112.2%
 
e1112.2%
 
s1112.2%
 
N1072.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
'57650.0%
 
57650.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII6307100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
o125920.0%
 
n115218.3%
 
D5769.1%
 
'5769.1%
 
t5769.1%
 
5769.1%
 
k5769.1%
 
w5769.1%
 
Y1111.8%
 
e1111.8%
 
s1111.8%
 
N1071.7%
 
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Yes
437 
Don't know
329 
No
 
28
ValueCountFrequency (%) 
Yes43755.0%
 
Don't know32941.4%
 
No283.5%
 
2020-12-12T18:42:04.294524image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:04.345068image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:04.398113image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length3
Mean length5.865239295
Min length2

Overview of Unicode Properties

Unique unicode characters12
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
o68614.7%
 
n65814.1%
 
Y4379.4%
 
e4379.4%
 
s4379.4%
 
D3297.1%
 
'3297.1%
 
t3297.1%
 
3297.1%
 
k3297.1%
 
w3297.1%
 
N280.6%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter320568.8%
 
Uppercase Letter79417.0%
 
Other Punctuation3297.1%
 
Space Separator3297.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
Y43755.0%
 
D32941.4%
 
N283.5%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
o68621.4%
 
n65820.5%
 
e43713.6%
 
s43713.6%
 
t32910.3%
 
k32910.3%
 
w32910.3%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'329100.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
329100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin399985.9%
 
Common65814.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
o68617.2%
 
n65816.5%
 
Y43710.9%
 
e43710.9%
 
s43710.9%
 
D3298.2%
 
t3298.2%
 
k3298.2%
 
w3298.2%
 
N280.7%
 

Most frequent Common characters

ValueCountFrequency (%) 
'32950.0%
 
32950.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII4657100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
o68614.7%
 
n65814.1%
 
Y4379.4%
 
e4379.4%
 
s4379.4%
 
D3297.1%
 
'3297.1%
 
t3297.1%
 
3297.1%
 
k3297.1%
 
w3297.1%
 
N280.6%
 
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Yes
529 
Don't know
248 
No
 
17
ValueCountFrequency (%) 
Yes52966.6%
 
Don't know24831.2%
 
No172.1%
 
2020-12-12T18:42:04.467173image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:04.509709image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:04.562755image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length3
Mean length5.164987406
Min length2

Overview of Unicode Properties

Unique unicode characters12
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
Y52912.9%
 
e52912.9%
 
s52912.9%
 
o51312.5%
 
n49612.1%
 
D2486.0%
 
'2486.0%
 
t2486.0%
 
2486.0%
 
k2486.0%
 
w2486.0%
 
N170.4%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter281168.5%
 
Uppercase Letter79419.4%
 
Other Punctuation2486.0%
 
Space Separator2486.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
Y52966.6%
 
D24831.2%
 
N172.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e52918.8%
 
s52918.8%
 
o51318.2%
 
n49617.6%
 
t2488.8%
 
k2488.8%
 
w2488.8%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'248100.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
248100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin360587.9%
 
Common49612.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
Y52914.7%
 
e52914.7%
 
s52914.7%
 
o51314.2%
 
n49613.8%
 
D2486.9%
 
t2486.9%
 
k2486.9%
 
w2486.9%
 
N170.5%
 

Most frequent Common characters

ValueCountFrequency (%) 
'24850.0%
 
24850.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII4101100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
Y52912.9%
 
e52912.9%
 
s52912.9%
 
o51312.5%
 
n49612.1%
 
D2486.0%
 
'2486.0%
 
t2486.0%
 
2486.0%
 
k2486.0%
 
w2486.0%
 
N170.4%
 
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Don't know
461 
Yes
312 
No
 
21
ValueCountFrequency (%) 
Don't know46158.1%
 
Yes31239.3%
 
No212.6%
 
2020-12-12T18:42:04.631314image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:04.672850image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:04.725395image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length10
Mean length7.037783375
Min length2

Overview of Unicode Properties

Unique unicode characters12
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
o94316.9%
 
n92216.5%
 
D4618.2%
 
'4618.2%
 
t4618.2%
 
4618.2%
 
k4618.2%
 
w4618.2%
 
Y3125.6%
 
e3125.6%
 
s3125.6%
 
N210.4%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter387269.3%
 
Uppercase Letter79414.2%
 
Other Punctuation4618.2%
 
Space Separator4618.2%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
D46158.1%
 
Y31239.3%
 
N212.6%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
o94324.4%
 
n92223.8%
 
t46111.9%
 
k46111.9%
 
w46111.9%
 
e3128.1%
 
s3128.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'461100.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
461100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin466683.5%
 
Common92216.5%
 

Most frequent Latin characters

ValueCountFrequency (%) 
o94320.2%
 
n92219.8%
 
D4619.9%
 
t4619.9%
 
k4619.9%
 
w4619.9%
 
Y3126.7%
 
e3126.7%
 
s3126.7%
 
N210.5%
 

Most frequent Common characters

ValueCountFrequency (%) 
'46150.0%
 
46150.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII5588100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
o94316.9%
 
n92216.5%
 
D4618.2%
 
'4618.2%
 
t4618.2%
 
4618.2%
 
k4618.2%
 
w4618.2%
 
Y3125.6%
 
e3125.6%
 
s3125.6%
 
N210.4%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
5 Strongly agree
504 
4 Somewhat agree
196 
3 Neither agree nor disagree
 
28
I don't know
 
27
1 Strongly disagree
 
23
ValueCountFrequency (%) 
5 Strongly agree50463.5%
 
4 Somewhat agree19624.7%
 
3 Neither agree nor disagree283.5%
 
I don't know273.4%
 
1 Strongly disagree232.9%
 
2 Somewhat disagree162.0%
 
2020-12-12T18:42:04.797457image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:04.845498image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:04.917560image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length16
Mean length16.43450882
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e185814.2%
 
164412.6%
 
r137810.6%
 
g132210.1%
 
a10077.7%
 
o8216.3%
 
t7946.1%
 
S7395.7%
 
n6094.7%
 
l5274.0%
 
y5274.0%
 
55043.9%
 
h2401.8%
 
w2391.8%
 
m2121.6%
 
41961.5%
 
i950.7%
 
d940.7%
 
s670.5%
 
3280.2%
 
N280.2%
 
I270.2%
 
'270.2%
 
k270.2%
 
1230.2%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter981775.2%
 
Space Separator164412.6%
 
Uppercase Letter7946.1%
 
Decimal Number7675.9%
 
Other Punctuation270.2%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
550465.7%
 
419625.6%
 
3283.7%
 
1233.0%
 
2162.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1644100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S73993.1%
 
N283.5%
 
I273.4%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e185818.9%
 
r137814.0%
 
g132213.5%
 
a100710.3%
 
o8218.4%
 
t7948.1%
 
n6096.2%
 
l5275.4%
 
y5275.4%
 
h2402.4%
 
w2392.4%
 
m2122.2%
 
i951.0%
 
d941.0%
 
s670.7%
 
k270.3%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'27100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1061181.3%
 
Common243818.7%
 

Most frequent Common characters

ValueCountFrequency (%) 
164467.4%
 
550420.7%
 
41968.0%
 
3281.1%
 
'271.1%
 
1230.9%
 
2160.7%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e185817.5%
 
r137813.0%
 
g132212.5%
 
a10079.5%
 
o8217.7%
 
t7947.5%
 
S7397.0%
 
n6095.7%
 
l5275.0%
 
y5275.0%
 
h2402.3%
 
w2392.3%
 
m2122.0%
 
i950.9%
 
d940.9%
 
s670.6%
 
N280.3%
 
I270.3%
 
k270.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII13049100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e185814.2%
 
164412.6%
 
r137810.6%
 
g132210.1%
 
a10077.7%
 
o8216.3%
 
t7946.1%
 
S7395.7%
 
n6094.7%
 
l5274.0%
 
y5274.0%
 
55043.9%
 
h2401.8%
 
w2391.8%
 
m2121.6%
 
41961.5%
 
i950.7%
 
d940.7%
 
s670.5%
 
3280.2%
 
N280.2%
 
I270.2%
 
'270.2%
 
k270.2%
 
1230.2%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
5 Strongly agree
376 
4 Somewhat agree
217 
2 Somewhat disagree
66 
3 Neither agree nor disagree
57 
1 Strongly disagree
53 
ValueCountFrequency (%) 
5 Strongly agree37647.4%
 
4 Somewhat agree21727.3%
 
2 Somewhat disagree668.3%
 
3 Neither agree nor disagree577.2%
 
1 Strongly disagree536.7%
 
I don't know253.1%
 
2020-12-12T18:42:04.994627image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:05.043669image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:05.115230image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length16
Mean length17.18513854
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e204915.0%
 
170212.5%
 
r136910.0%
 
g12559.2%
 
a11098.1%
 
o8196.0%
 
t7945.8%
 
S7125.2%
 
n5363.9%
 
l4293.1%
 
y4293.1%
 
53762.8%
 
h3402.5%
 
w3082.3%
 
m2832.1%
 
i2331.7%
 
42171.6%
 
d2011.5%
 
s1761.3%
 
2660.5%
 
3570.4%
 
N570.4%
 
1530.4%
 
I250.2%
 
'250.2%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1035575.9%
 
Space Separator170212.5%
 
Uppercase Letter7945.8%
 
Decimal Number7695.6%
 
Other Punctuation250.2%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
537648.9%
 
421728.2%
 
2668.6%
 
3577.4%
 
1536.9%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1702100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S71289.7%
 
N577.2%
 
I253.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e204919.8%
 
r136913.2%
 
g125512.1%
 
a110910.7%
 
o8197.9%
 
t7947.7%
 
n5365.2%
 
l4294.1%
 
y4294.1%
 
h3403.3%
 
w3083.0%
 
m2832.7%
 
i2332.3%
 
d2011.9%
 
s1761.7%
 
k250.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'25100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1114981.7%
 
Common249618.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
170268.2%
 
537615.1%
 
42178.7%
 
2662.6%
 
3572.3%
 
1532.1%
 
'251.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e204918.4%
 
r136912.3%
 
g125511.3%
 
a11099.9%
 
o8197.3%
 
t7947.1%
 
S7126.4%
 
n5364.8%
 
l4293.8%
 
y4293.8%
 
h3403.0%
 
w3082.8%
 
m2832.5%
 
i2332.1%
 
d2011.8%
 
s1761.6%
 
N570.5%
 
I250.2%
 
k250.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII13645100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e204915.0%
 
170212.5%
 
r136910.0%
 
g12559.2%
 
a11098.1%
 
o8196.0%
 
t7945.8%
 
S7125.2%
 
n5363.9%
 
l4293.1%
 
y4293.1%
 
53762.8%
 
h3402.5%
 
w3082.3%
 
m2832.1%
 
i2331.7%
 
42171.6%
 
d2011.5%
 
s1761.3%
 
2660.5%
 
3570.4%
 
N570.4%
 
1530.4%
 
I250.2%
 
'250.2%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I don't know
288 
5 Strongly agree
243 
4 Somewhat agree
128 
3 Neither agree nor disagree
73 
2 Somewhat disagree
44 
ValueCountFrequency (%) 
I don't know28836.3%
 
5 Strongly agree24330.6%
 
4 Somewhat agree12816.1%
 
3 Neither agree nor disagree739.2%
 
2 Somewhat disagree445.5%
 
1 Strongly disagree182.3%
 
2020-12-12T18:42:05.190795image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:05.239337image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:05.308397image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length16
Mean length15.88664987
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
173413.7%
 
e147611.7%
 
o10828.6%
 
r9867.8%
 
n9107.2%
 
g8406.7%
 
t7946.3%
 
a7516.0%
 
w4603.6%
 
S4333.4%
 
d4233.4%
 
I2882.3%
 
'2882.3%
 
k2882.3%
 
l2612.1%
 
y2612.1%
 
h2451.9%
 
52431.9%
 
i2081.6%
 
m1721.4%
 
s1351.1%
 
41281.0%
 
3730.6%
 
N730.6%
 
2440.3%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter929273.7%
 
Space Separator173413.7%
 
Uppercase Letter7946.3%
 
Decimal Number5064.0%
 
Other Punctuation2882.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
524348.0%
 
412825.3%
 
37314.4%
 
2448.7%
 
1183.6%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1734100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S43354.5%
 
I28836.3%
 
N739.2%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e147615.9%
 
o108211.6%
 
r98610.6%
 
n9109.8%
 
g8409.0%
 
t7948.5%
 
a7518.1%
 
w4605.0%
 
d4234.6%
 
k2883.1%
 
l2612.8%
 
y2612.8%
 
h2452.6%
 
i2082.2%
 
m1721.9%
 
s1351.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'288100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1008680.0%
 
Common252820.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
173468.6%
 
'28811.4%
 
52439.6%
 
41285.1%
 
3732.9%
 
2441.7%
 
1180.7%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e147614.6%
 
o108210.7%
 
r9869.8%
 
n9109.0%
 
g8408.3%
 
t7947.9%
 
a7517.4%
 
w4604.6%
 
S4334.3%
 
d4234.2%
 
I2882.9%
 
k2882.9%
 
l2612.6%
 
y2612.6%
 
h2452.4%
 
i2082.1%
 
m1721.7%
 
s1351.3%
 
N730.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII12614100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
173413.7%
 
e147611.7%
 
o10828.6%
 
r9867.8%
 
n9107.2%
 
g8406.7%
 
t7946.3%
 
a7516.0%
 
w4603.6%
 
S4333.4%
 
d4233.4%
 
I2882.3%
 
'2882.3%
 
k2882.3%
 
l2612.1%
 
y2612.1%
 
h2451.9%
 
52431.9%
 
i2081.6%
 
m1721.4%
 
s1351.1%
 
41281.0%
 
3730.6%
 
N730.6%
 
2440.3%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
1 Strongly disagree
333 
2 Somewhat disagree
200 
3 Neither agree nor disagree
97 
4 Somewhat agree
72 
I don't know
58 
ValueCountFrequency (%) 
1 Strongly disagree33341.9%
 
2 Somewhat disagree20025.2%
 
3 Neither agree nor disagree9712.2%
 
4 Somewhat agree729.1%
 
I don't know587.3%
 
5 Strongly agree344.3%
 
2020-12-12T18:42:05.379958image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:05.426498image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:05.498560image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length19
Mean length19.18765743
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e213214.0%
 
178211.7%
 
r13949.1%
 
g12007.9%
 
a11057.3%
 
o8525.6%
 
t7945.2%
 
i7274.8%
 
d6884.5%
 
S6394.2%
 
s6304.1%
 
n5803.8%
 
h3692.4%
 
l3672.4%
 
y3672.4%
 
13332.2%
 
w3302.2%
 
m2721.8%
 
22001.3%
 
3970.6%
 
N970.6%
 
4720.5%
 
I580.4%
 
'580.4%
 
k580.4%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1186577.9%
 
Space Separator178211.7%
 
Uppercase Letter7945.2%
 
Decimal Number7364.8%
 
Other Punctuation580.4%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
133345.2%
 
220027.2%
 
39713.2%
 
4729.8%
 
5344.6%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1782100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S63980.5%
 
N9712.2%
 
I587.3%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e213218.0%
 
r139411.7%
 
g120010.1%
 
a11059.3%
 
o8527.2%
 
t7946.7%
 
i7276.1%
 
d6885.8%
 
s6305.3%
 
n5804.9%
 
h3693.1%
 
l3673.1%
 
y3673.1%
 
w3302.8%
 
m2722.3%
 
k580.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'58100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1265983.1%
 
Common257616.9%
 

Most frequent Common characters

ValueCountFrequency (%) 
178269.2%
 
133312.9%
 
22007.8%
 
3973.8%
 
4722.8%
 
'582.3%
 
5341.3%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e213216.8%
 
r139411.0%
 
g12009.5%
 
a11058.7%
 
o8526.7%
 
t7946.3%
 
i7275.7%
 
d6885.4%
 
S6395.0%
 
s6305.0%
 
n5804.6%
 
h3692.9%
 
l3672.9%
 
y3672.9%
 
w3302.6%
 
m2722.1%
 
N970.8%
 
I580.5%
 
k580.5%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII15235100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e213214.0%
 
178211.7%
 
r13949.1%
 
g12007.9%
 
a11057.3%
 
o8525.6%
 
t7945.2%
 
i7274.8%
 
d6884.5%
 
S6394.2%
 
s6304.1%
 
n5803.8%
 
h3692.4%
 
l3672.4%
 
y3672.4%
 
13332.2%
 
w3302.2%
 
m2721.8%
 
22001.3%
 
3970.6%
 
N970.6%
 
4720.5%
 
I580.4%
 
'580.4%
 
k580.4%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
1 Strongly disagree
288 
2 Somewhat disagree
173 
3 Neither agree nor disagree
106 
4 Somewhat agree
101 
5 Strongly agree
73 
ValueCountFrequency (%) 
1 Strongly disagree28836.3%
 
2 Somewhat disagree17321.8%
 
3 Neither agree nor disagree10613.4%
 
4 Somewhat agree10112.7%
 
5 Strongly agree739.2%
 
I don't know536.7%
 
2020-12-12T18:42:05.572624image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:05.619664image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:05.692727image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length19
Mean length19.0768262
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e218014.4%
 
180011.9%
 
r14209.4%
 
g12088.0%
 
a11217.4%
 
o8475.6%
 
t7945.2%
 
i6734.4%
 
S6354.2%
 
d6204.1%
 
n5733.8%
 
s5673.7%
 
h3802.5%
 
l3612.4%
 
y3612.4%
 
w3272.2%
 
12881.9%
 
m2741.8%
 
21731.1%
 
31060.7%
 
N1060.7%
 
41010.7%
 
5730.5%
 
I530.3%
 
'530.3%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1175977.6%
 
Space Separator180011.9%
 
Uppercase Letter7945.2%
 
Decimal Number7414.9%
 
Other Punctuation530.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
128838.9%
 
217323.3%
 
310614.3%
 
410113.6%
 
5739.9%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1800100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S63580.0%
 
N10613.4%
 
I536.7%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e218018.5%
 
r142012.1%
 
g120810.3%
 
a11219.5%
 
o8477.2%
 
t7946.8%
 
i6735.7%
 
d6205.3%
 
n5734.9%
 
s5674.8%
 
h3803.2%
 
l3613.1%
 
y3613.1%
 
w3272.8%
 
m2742.3%
 
k530.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'53100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1255382.9%
 
Common259417.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
180069.4%
 
128811.1%
 
21736.7%
 
31064.1%
 
41013.9%
 
5732.8%
 
'532.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e218017.4%
 
r142011.3%
 
g12089.6%
 
a11218.9%
 
o8476.7%
 
t7946.3%
 
i6735.4%
 
S6355.1%
 
d6204.9%
 
n5734.6%
 
s5674.5%
 
h3803.0%
 
l3612.9%
 
y3612.9%
 
w3272.6%
 
m2742.2%
 
N1060.8%
 
I530.4%
 
k530.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII15147100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e218014.4%
 
180011.9%
 
r14209.4%
 
g12088.0%
 
a11217.4%
 
o8475.6%
 
t7945.2%
 
i6734.4%
 
S6354.2%
 
d6204.1%
 
n5733.8%
 
s5673.7%
 
h3802.5%
 
l3612.4%
 
y3612.4%
 
w3272.2%
 
12881.9%
 
m2741.8%
 
21731.1%
 
31060.7%
 
N1060.7%
 
41010.7%
 
5730.5%
 
I530.3%
 
'530.3%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I don't know
274 
4 Somewhat agree
244 
5 Strongly agree
146 
3 Neither agree nor disagree
88 
2 Somewhat disagree
28 
ValueCountFrequency (%) 
I don't know27434.5%
 
4 Somewhat agree24430.7%
 
5 Strongly agree14618.4%
 
3 Neither agree nor disagree8811.1%
 
2 Somewhat disagree283.5%
 
1 Strongly disagree141.8%
 
2020-12-12T18:42:05.767291image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:05.814832image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:05.884893image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length16
Mean length16.10831234
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
176413.8%
 
e166413.0%
 
o10688.4%
 
r9447.4%
 
a8806.9%
 
n7966.2%
 
t7946.2%
 
g7686.0%
 
w5464.3%
 
S4323.4%
 
d4043.2%
 
h3602.8%
 
I2742.1%
 
'2742.1%
 
k2742.1%
 
m2722.1%
 
42441.9%
 
i2181.7%
 
l1601.3%
 
y1601.3%
 
51461.1%
 
s1301.0%
 
3880.7%
 
N880.7%
 
2280.2%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter943873.8%
 
Space Separator176413.8%
 
Uppercase Letter7946.2%
 
Decimal Number5204.1%
 
Other Punctuation2742.1%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
424446.9%
 
514628.1%
 
38816.9%
 
2285.4%
 
1142.7%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1764100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S43254.4%
 
I27434.5%
 
N8811.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e166417.6%
 
o106811.3%
 
r94410.0%
 
a8809.3%
 
n7968.4%
 
t7948.4%
 
g7688.1%
 
w5465.8%
 
d4044.3%
 
h3603.8%
 
k2742.9%
 
m2722.9%
 
i2182.3%
 
l1601.7%
 
y1601.7%
 
s1301.4%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'274100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1023280.0%
 
Common255820.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
176469.0%
 
'27410.7%
 
42449.5%
 
51465.7%
 
3883.4%
 
2281.1%
 
1140.5%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e166416.3%
 
o106810.4%
 
r9449.2%
 
a8808.6%
 
n7967.8%
 
t7947.8%
 
g7687.5%
 
w5465.3%
 
S4324.2%
 
d4043.9%
 
h3603.5%
 
I2742.7%
 
k2742.7%
 
m2722.7%
 
i2182.1%
 
l1601.6%
 
y1601.6%
 
s1301.3%
 
N880.9%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII12790100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
176413.8%
 
e166413.0%
 
o10688.4%
 
r9447.4%
 
a8806.9%
 
n7966.2%
 
t7946.2%
 
g7686.0%
 
w5464.3%
 
S4323.4%
 
d4043.2%
 
h3602.8%
 
I2742.1%
 
'2742.1%
 
k2742.1%
 
m2722.1%
 
42441.9%
 
i2181.7%
 
l1601.3%
 
y1601.3%
 
51461.1%
 
s1301.0%
 
3880.7%
 
N880.7%
 
2280.2%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I don't know
382 
4 Somewhat agree
171 
5 Strongly agree
95 
3 Neither agree nor disagree
91 
2 Somewhat disagree
 
29
ValueCountFrequency (%) 
I don't know38248.1%
 
4 Somewhat agree17121.5%
 
5 Strongly agree9512.0%
 
3 Neither agree nor disagree9111.5%
 
2 Somewhat disagree293.7%
 
1 Strongly disagree263.3%
 
2020-12-12T18:42:05.959457image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:06.008999image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:06.081562image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length16
Mean length15.65869018
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
177014.2%
 
e138811.2%
 
o11769.5%
 
n9767.9%
 
r8066.5%
 
t7946.4%
 
a7035.7%
 
g6245.0%
 
w5824.7%
 
d5284.2%
 
I3823.1%
 
'3823.1%
 
k3823.1%
 
S3212.6%
 
h2912.3%
 
i2371.9%
 
m2001.6%
 
41711.4%
 
s1461.2%
 
l1211.0%
 
y1211.0%
 
5950.8%
 
3910.7%
 
N910.7%
 
2290.2%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter907573.0%
 
Space Separator177014.2%
 
Uppercase Letter7946.4%
 
Decimal Number4123.3%
 
Other Punctuation3823.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
I38248.1%
 
S32140.4%
 
N9111.5%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1770100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e138815.3%
 
o117613.0%
 
n97610.8%
 
r8068.9%
 
t7948.7%
 
a7037.7%
 
g6246.9%
 
w5826.4%
 
d5285.8%
 
k3824.2%
 
h2913.2%
 
i2372.6%
 
m2002.2%
 
s1461.6%
 
l1211.3%
 
y1211.3%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'382100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
417141.5%
 
59523.1%
 
39122.1%
 
2297.0%
 
1266.3%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin986979.4%
 
Common256420.6%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e138814.1%
 
o117611.9%
 
n9769.9%
 
r8068.2%
 
t7948.0%
 
a7037.1%
 
g6246.3%
 
w5825.9%
 
d5285.4%
 
I3823.9%
 
k3823.9%
 
S3213.3%
 
h2912.9%
 
i2372.4%
 
m2002.0%
 
s1461.5%
 
l1211.2%
 
y1211.2%
 
N910.9%
 

Most frequent Common characters

ValueCountFrequency (%) 
177069.0%
 
'38214.9%
 
41716.7%
 
5953.7%
 
3913.5%
 
2291.1%
 
1261.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII12433100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
177014.2%
 
e138811.2%
 
o11769.5%
 
n9767.9%
 
r8066.5%
 
t7946.4%
 
a7035.7%
 
g6245.0%
 
w5824.7%
 
d5284.2%
 
I3823.1%
 
'3823.1%
 
k3823.1%
 
S3212.6%
 
h2912.3%
 
i2371.9%
 
m2001.6%
 
41711.4%
 
s1461.2%
 
l1211.0%
 
y1211.0%
 
5950.8%
 
3910.7%
 
N910.7%
 
2290.2%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
5 Strongly agree
359 
4 Somewhat agree
245 
I don't know
122 
3 Neither agree nor disagree
45 
1 Strongly disagree
 
13
ValueCountFrequency (%) 
5 Strongly agree35945.2%
 
4 Somewhat agree24530.9%
 
I don't know12215.4%
 
3 Neither agree nor disagree455.7%
 
1 Strongly disagree131.6%
 
2 Somewhat disagree101.3%
 
2020-12-12T18:42:06.158628image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:06.207670image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:06.278231image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length16
Mean length16.15239295
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e177913.9%
 
167813.1%
 
r11799.2%
 
g10898.5%
 
a9727.6%
 
o9167.1%
 
t7946.2%
 
n6615.2%
 
S6274.9%
 
w3772.9%
 
l3722.9%
 
y3722.9%
 
53592.8%
 
h3002.3%
 
m2552.0%
 
42451.9%
 
d1901.5%
 
I1221.0%
 
'1221.0%
 
k1221.0%
 
i1130.9%
 
s680.5%
 
3450.4%
 
N450.4%
 
1130.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter955974.5%
 
Space Separator167813.1%
 
Uppercase Letter7946.2%
 
Decimal Number6725.2%
 
Other Punctuation1221.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
535953.4%
 
424536.5%
 
3456.7%
 
1131.9%
 
2101.5%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1678100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S62779.0%
 
I12215.4%
 
N455.7%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e177918.6%
 
r117912.3%
 
g108911.4%
 
a97210.2%
 
o9169.6%
 
t7948.3%
 
n6616.9%
 
w3773.9%
 
l3723.9%
 
y3723.9%
 
h3003.1%
 
m2552.7%
 
d1902.0%
 
k1221.3%
 
i1131.2%
 
s680.7%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'122100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1035380.7%
 
Common247219.3%
 

Most frequent Common characters

ValueCountFrequency (%) 
167867.9%
 
535914.5%
 
42459.9%
 
'1224.9%
 
3451.8%
 
1130.5%
 
2100.4%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e177917.2%
 
r117911.4%
 
g108910.5%
 
a9729.4%
 
o9168.8%
 
t7947.7%
 
n6616.4%
 
S6276.1%
 
w3773.6%
 
l3723.6%
 
y3723.6%
 
h3002.9%
 
m2552.5%
 
d1901.8%
 
I1221.2%
 
k1221.2%
 
i1131.1%
 
s680.7%
 
N450.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII12825100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e177913.9%
 
167813.1%
 
r11799.2%
 
g10898.5%
 
a9727.6%
 
o9167.1%
 
t7946.2%
 
n6615.2%
 
S6274.9%
 
w3772.9%
 
l3722.9%
 
y3722.9%
 
53592.8%
 
h3002.3%
 
m2552.0%
 
42451.9%
 
d1901.5%
 
I1221.0%
 
'1221.0%
 
k1221.0%
 
i1130.9%
 
s680.5%
 
3450.4%
 
N450.4%
 
1130.1%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
4 Somewhat agree
261 
I don't know
233 
5 Strongly agree
147 
3 Neither agree nor disagree
102 
2 Somewhat disagree
27 
ValueCountFrequency (%) 
4 Somewhat agree26132.9%
 
I don't know23329.3%
 
5 Strongly agree14718.5%
 
3 Neither agree nor disagree10212.8%
 
2 Somewhat disagree273.4%
 
1 Strongly disagree243.0%
 
2020-12-12T18:42:06.352795image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:06.399836image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:06.469396image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length16
Mean length16.5604534
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e181813.8%
 
179213.6%
 
r10387.9%
 
o10277.8%
 
a9517.2%
 
g8346.3%
 
t7946.0%
 
n7395.6%
 
w5214.0%
 
S4593.5%
 
h3903.0%
 
d3862.9%
 
m2882.2%
 
42612.0%
 
i2551.9%
 
I2331.8%
 
'2331.8%
 
k2331.8%
 
l1711.3%
 
y1711.3%
 
s1531.2%
 
51471.1%
 
31020.8%
 
N1020.8%
 
2270.2%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter976974.3%
 
Space Separator179213.6%
 
Uppercase Letter7946.0%
 
Decimal Number5614.3%
 
Other Punctuation2331.8%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
426146.5%
 
514726.2%
 
310218.2%
 
2274.8%
 
1244.3%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1792100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S45957.8%
 
I23329.3%
 
N10212.8%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e181818.6%
 
r103810.6%
 
o102710.5%
 
a9519.7%
 
g8348.5%
 
t7948.1%
 
n7397.6%
 
w5215.3%
 
h3904.0%
 
d3864.0%
 
m2882.9%
 
i2552.6%
 
k2332.4%
 
l1711.8%
 
y1711.8%
 
s1531.6%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'233100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1056380.3%
 
Common258619.7%
 

Most frequent Common characters

ValueCountFrequency (%) 
179269.3%
 
426110.1%
 
'2339.0%
 
51475.7%
 
31023.9%
 
2271.0%
 
1240.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e181817.2%
 
r10389.8%
 
o10279.7%
 
a9519.0%
 
g8347.9%
 
t7947.5%
 
n7397.0%
 
w5214.9%
 
S4594.3%
 
h3903.7%
 
d3863.7%
 
m2882.7%
 
i2552.4%
 
I2332.2%
 
k2332.2%
 
l1711.6%
 
y1711.6%
 
s1531.4%
 
N1021.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII13149100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e181813.8%
 
179213.6%
 
r10387.9%
 
o10277.8%
 
a9517.2%
 
g8346.3%
 
t7946.0%
 
n7395.6%
 
w5214.0%
 
S4593.5%
 
h3903.0%
 
d3862.9%
 
m2882.2%
 
42612.0%
 
i2551.9%
 
I2331.8%
 
'2331.8%
 
k2331.8%
 
l1711.3%
 
y1711.3%
 
s1531.2%
 
51471.1%
 
31020.8%
 
N1020.8%
 
2270.2%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
4 Somewhat agree
312 
5 Strongly agree
197 
I don't know
178 
3 Neither agree nor disagree
62 
2 Somewhat disagree
 
29
ValueCountFrequency (%) 
4 Somewhat agree31239.3%
 
5 Strongly agree19724.8%
 
I don't know17822.4%
 
3 Neither agree nor disagree627.8%
 
2 Somewhat disagree293.7%
 
1 Strongly disagree162.0%
 
2020-12-12T18:42:06.542459image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:06.588998image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:06.659059image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length16
Mean length16.21032746
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e182114.1%
 
171213.3%
 
a10197.9%
 
r10157.9%
 
o9727.6%
 
g8916.9%
 
t7946.2%
 
n6314.9%
 
S5544.3%
 
w5194.0%
 
h4033.1%
 
m3412.6%
 
43122.4%
 
d2852.2%
 
l2131.7%
 
y2131.7%
 
51971.5%
 
I1781.4%
 
'1781.4%
 
k1781.4%
 
i1691.3%
 
s1070.8%
 
3620.5%
 
N620.5%
 
2290.2%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter957174.4%
 
Space Separator171213.3%
 
Uppercase Letter7946.2%
 
Decimal Number6164.8%
 
Other Punctuation1781.4%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
431250.6%
 
519732.0%
 
36210.1%
 
2294.7%
 
1162.6%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1712100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S55469.8%
 
I17822.4%
 
N627.8%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e182119.0%
 
a101910.6%
 
r101510.6%
 
o97210.2%
 
g8919.3%
 
t7948.3%
 
n6316.6%
 
w5195.4%
 
h4034.2%
 
m3413.6%
 
d2853.0%
 
l2132.2%
 
y2132.2%
 
k1781.9%
 
i1691.8%
 
s1071.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'178100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1036580.5%
 
Common250619.5%
 

Most frequent Common characters

ValueCountFrequency (%) 
171268.3%
 
431212.5%
 
51977.9%
 
'1787.1%
 
3622.5%
 
2291.2%
 
1160.6%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e182117.6%
 
a10199.8%
 
r10159.8%
 
o9729.4%
 
g8918.6%
 
t7947.7%
 
n6316.1%
 
S5545.3%
 
w5195.0%
 
h4033.9%
 
m3413.3%
 
d2852.7%
 
l2132.1%
 
y2132.1%
 
I1781.7%
 
k1781.7%
 
i1691.6%
 
s1071.0%
 
N620.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII12871100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e182114.1%
 
171213.3%
 
a10197.9%
 
r10157.9%
 
o9727.6%
 
g8916.9%
 
t7946.2%
 
n6314.9%
 
S5544.3%
 
w5194.0%
 
h4033.1%
 
m3412.6%
 
43122.4%
 
d2852.2%
 
l2131.7%
 
y2131.7%
 
51971.5%
 
I1781.4%
 
'1781.4%
 
k1781.4%
 
i1691.3%
 
s1070.8%
 
3620.5%
 
N620.5%
 
2290.2%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
I don't know
322 
1 Strongly disagree
291 
2 Somewhat disagree
104 
3 Neither agree nor disagree
55 
5 Strongly agree
 
15
ValueCountFrequency (%) 
I don't know32240.6%
 
1 Strongly disagree29136.6%
 
2 Somewhat disagree10413.1%
 
3 Neither agree nor disagree556.9%
 
5 Strongly agree151.9%
 
4 Somewhat agree70.9%
 
2020-12-12T18:42:06.733123image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:06.780163image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:06.854227image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length19
Mean length16.70151134
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
169812.8%
 
e12759.6%
 
o11168.4%
 
n10057.6%
 
r9437.1%
 
g8336.3%
 
t7946.0%
 
d7725.8%
 
a6384.8%
 
i5053.8%
 
s4503.4%
 
w4333.3%
 
S4173.1%
 
I3222.4%
 
'3222.4%
 
k3222.4%
 
l3062.3%
 
y3062.3%
 
12912.2%
 
h1661.3%
 
m1110.8%
 
21040.8%
 
3550.4%
 
N550.4%
 
5150.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter997575.2%
 
Space Separator169812.8%
 
Uppercase Letter7946.0%
 
Decimal Number4723.6%
 
Other Punctuation3222.4%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S41752.5%
 
I32240.6%
 
N556.9%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1698100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e127512.8%
 
o111611.2%
 
n100510.1%
 
r9439.5%
 
g8338.4%
 
t7948.0%
 
d7727.7%
 
a6386.4%
 
i5055.1%
 
s4504.5%
 
w4334.3%
 
k3223.2%
 
l3063.1%
 
y3063.1%
 
h1661.7%
 
m1111.1%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'322100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
129161.7%
 
210422.0%
 
35511.7%
 
5153.2%
 
471.5%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1076981.2%
 
Common249218.8%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e127511.8%
 
o111610.4%
 
n10059.3%
 
r9438.8%
 
g8337.7%
 
t7947.4%
 
d7727.2%
 
a6385.9%
 
i5054.7%
 
s4504.2%
 
w4334.0%
 
S4173.9%
 
I3223.0%
 
k3223.0%
 
l3062.8%
 
y3062.8%
 
h1661.5%
 
m1111.0%
 
N550.5%
 

Most frequent Common characters

ValueCountFrequency (%) 
169868.1%
 
'32212.9%
 
129111.7%
 
21044.2%
 
3552.2%
 
5150.6%
 
470.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII13261100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
169812.8%
 
e12759.6%
 
o11168.4%
 
n10057.6%
 
r9437.1%
 
g8336.3%
 
t7946.0%
 
d7725.8%
 
a6384.8%
 
i5053.8%
 
s4503.4%
 
w4333.3%
 
S4173.1%
 
I3222.4%
 
'3222.4%
 
k3222.4%
 
l3062.3%
 
y3062.3%
 
12912.2%
 
h1661.3%
 
m1110.8%
 
21040.8%
 
3550.4%
 
N550.4%
 
5150.1%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
5 Strongly agree
404 
4 Somewhat agree
221 
3 Neither agree nor disagree
79 
2 Somewhat disagree
 
33
I don't know
 
32
ValueCountFrequency (%) 
5 Strongly agree40450.9%
 
4 Somewhat agree22127.8%
 
3 Neither agree nor disagree799.9%
 
2 Somewhat disagree334.2%
 
I don't know324.0%
 
1 Strongly disagree253.1%
 
2020-12-12T18:42:06.933795image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:06.984839image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:07.056901image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length16
Mean length17.25188917
Min length12

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e209415.3%
 
174612.7%
 
r142810.4%
 
g12709.3%
 
a10958.0%
 
o8266.0%
 
t7945.8%
 
S6835.0%
 
n5724.2%
 
l4293.1%
 
y4293.1%
 
54042.9%
 
h3332.4%
 
w2862.1%
 
m2541.9%
 
42211.6%
 
i2161.6%
 
d1691.2%
 
s1371.0%
 
3790.6%
 
N790.6%
 
2330.2%
 
I320.2%
 
'320.2%
 
k320.2%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1036475.7%
 
Space Separator174612.7%
 
Uppercase Letter7945.8%
 
Decimal Number7625.6%
 
Other Punctuation320.2%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
540453.0%
 
422129.0%
 
37910.4%
 
2334.3%
 
1253.3%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1746100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S68386.0%
 
N799.9%
 
I324.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e209420.2%
 
r142813.8%
 
g127012.3%
 
a109510.6%
 
o8268.0%
 
t7947.7%
 
n5725.5%
 
l4294.1%
 
y4294.1%
 
h3333.2%
 
w2862.8%
 
m2542.5%
 
i2162.1%
 
d1691.6%
 
s1371.3%
 
k320.3%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'32100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1115881.5%
 
Common254018.5%
 

Most frequent Common characters

ValueCountFrequency (%) 
174668.7%
 
540415.9%
 
42218.7%
 
3793.1%
 
2331.3%
 
'321.3%
 
1251.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e209418.8%
 
r142812.8%
 
g127011.4%
 
a10959.8%
 
o8267.4%
 
t7947.1%
 
S6836.1%
 
n5725.1%
 
l4293.8%
 
y4293.8%
 
h3333.0%
 
w2862.6%
 
m2542.3%
 
i2161.9%
 
d1691.5%
 
s1371.2%
 
N790.7%
 
I320.3%
 
k320.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII13698100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e209415.3%
 
174612.7%
 
r142810.4%
 
g12709.3%
 
a10958.0%
 
o8266.0%
 
t7945.8%
 
S6835.0%
 
n5724.2%
 
l4293.1%
 
y4293.1%
 
54042.9%
 
h3332.4%
 
w2862.1%
 
m2541.9%
 
42211.6%
 
i2161.6%
 
d1691.2%
 
s1371.0%
 
3790.6%
 
N790.6%
 
2330.2%
 
I320.2%
 
'320.2%
 
k320.2%
 
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
577 
1
217 
ValueCountFrequency (%) 
057772.7%
 
121727.3%
 
2020-12-12T18:42:07.107445image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
714 
1
80 
ValueCountFrequency (%) 
071489.9%
 
18010.1%
 
2020-12-12T18:42:07.133467image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
762 
1
 
32
ValueCountFrequency (%) 
076296.0%
 
1324.0%
 
2020-12-12T18:42:07.158489image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
741 
1
 
53
ValueCountFrequency (%) 
074193.3%
 
1536.7%
 
2020-12-12T18:42:07.183510image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
718 
1
76 
ValueCountFrequency (%) 
071890.4%
 
1769.6%
 
2020-12-12T18:42:07.209032image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
720 
1
74 
ValueCountFrequency (%) 
072090.7%
 
1749.3%
 
2020-12-12T18:42:07.234554image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
654 
1
140 
ValueCountFrequency (%) 
065482.4%
 
114017.6%
 
2020-12-12T18:42:07.259576image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
697 
1
97 
ValueCountFrequency (%) 
069787.8%
 
19712.2%
 
2020-12-12T18:42:07.285097image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
399 
1
395 
ValueCountFrequency (%) 
039950.3%
 
139549.7%
 
2020-12-12T18:42:07.310619image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
No
613 
Yes
161 
Don't know
 
20
ValueCountFrequency (%) 
No61377.2%
 
Yes16120.3%
 
Don't know202.5%
 
2020-12-12T18:42:07.361664image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:07.408204image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:07.464752image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length2
Mean length2.404282116
Min length2

Overview of Unicode Properties

Unique unicode characters12
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
o65334.2%
 
N61332.1%
 
Y1618.4%
 
e1618.4%
 
s1618.4%
 
n402.1%
 
D201.0%
 
'201.0%
 
t201.0%
 
201.0%
 
k201.0%
 
w201.0%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter107556.3%
 
Uppercase Letter79441.6%
 
Other Punctuation201.0%
 
Space Separator201.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
N61377.2%
 
Y16120.3%
 
D202.5%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
o65360.7%
 
e16115.0%
 
s16115.0%
 
n403.7%
 
t201.9%
 
k201.9%
 
w201.9%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'20100.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
20100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin186997.9%
 
Common402.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
o65334.9%
 
N61332.8%
 
Y1618.6%
 
e1618.6%
 
s1618.6%
 
n402.1%
 
D201.1%
 
t201.1%
 
k201.1%
 
w201.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
'2050.0%
 
2050.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII1909100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
o65334.2%
 
N61332.1%
 
Y1618.4%
 
e1618.4%
 
s1618.4%
 
n402.1%
 
D201.0%
 
'201.0%
 
t201.0%
 
201.0%
 
k201.0%
 
w201.0%
 
Distinct2
Distinct (%)1.2%
Missing633
Missing (%)79.7%
Memory size6.3 KiB
0
120 
1
 
41
(Missing)
633 
ValueCountFrequency (%) 
012015.1%
 
1415.2%
 
(Missing)63379.7%
 
2020-12-12T18:42:07.516296image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)1.2%
Missing633
Missing (%)79.7%
Memory size6.3 KiB
1
88 
0
73 
(Missing)
633 
ValueCountFrequency (%) 
18811.1%
 
0739.2%
 
(Missing)63379.7%
 
2020-12-12T18:42:07.542319image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)1.2%
Missing633
Missing (%)79.7%
Memory size6.3 KiB
0
141 
1
 
20
(Missing)
633 
ValueCountFrequency (%) 
014117.8%
 
1202.5%
 
(Missing)63379.7%
 
2020-12-12T18:42:07.567841image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)1.2%
Missing633
Missing (%)79.7%
Memory size6.3 KiB
0
136 
1
 
25
(Missing)
633 
ValueCountFrequency (%) 
013617.1%
 
1253.1%
 
(Missing)63379.7%
 
2020-12-12T18:42:07.592862image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)1.2%
Missing633
Missing (%)79.7%
Memory size6.3 KiB
0
149 
1
 
12
(Missing)
633 
ValueCountFrequency (%) 
014918.8%
 
1121.5%
 
(Missing)63379.7%
 
2020-12-12T18:42:07.618885image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)1.2%
Missing633
Missing (%)79.7%
Memory size6.3 KiB
0
152 
1
 
9
(Missing)
633 
ValueCountFrequency (%) 
015219.1%
 
191.1%
 
(Missing)63379.7%
 
2020-12-12T18:42:07.644407image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)1.2%
Missing633
Missing (%)79.7%
Memory size6.3 KiB
0
132 
1
 
29
(Missing)
633 
ValueCountFrequency (%) 
013216.6%
 
1293.7%
 
(Missing)63379.7%
 
2020-12-12T18:42:07.670429image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)1.2%
Missing633
Missing (%)79.7%
Memory size6.3 KiB
0
157 
1
 
4
(Missing)
633 
ValueCountFrequency (%) 
015719.8%
 
140.5%
 
(Missing)63379.7%
 
2020-12-12T18:42:07.695951image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)1.2%
Missing633
Missing (%)79.7%
Memory size6.3 KiB
0
145 
1
 
16
(Missing)
633 
ValueCountFrequency (%) 
014518.3%
 
1162.0%
 
(Missing)63379.7%
 
2020-12-12T18:42:07.721973image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct5
Distinct (%)5.7%
Missing706
Missing (%)88.9%
Memory size6.3 KiB
5 Very Satisfied
47 
4 Somewhat satisfied
28 
3 Neither satisfied nor unsatisfied
2 Somewhat unsatisfied
1 Very unsatisfied
 
2
ValueCountFrequency (%) 
5 Very Satisfied475.9%
 
4 Somewhat satisfied283.5%
 
3 Neither satisfied nor unsatisfied60.8%
 
2 Somewhat unsatisfied50.6%
 
1 Very unsatisfied20.3%
 
(Missing)70688.9%
 
2020-12-12T18:42:07.770015image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:07.814053image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:07.881110image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length35
Median length3
Mean length4.768261965
Min length3

Overview of Unicode Properties

Unique unicode characters24
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n143137.8%
 
a83322.0%
 
i1945.1%
 
1885.0%
 
e1885.0%
 
s1413.7%
 
t1333.5%
 
f942.5%
 
d942.5%
 
S802.1%
 
r611.6%
 
V491.3%
 
y491.3%
 
5471.2%
 
o391.0%
 
h391.0%
 
m330.9%
 
w330.9%
 
4280.7%
 
u130.3%
 
360.2%
 
N60.2%
 
250.1%
 
120.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter337589.1%
 
Space Separator1885.0%
 
Uppercase Letter1353.6%
 
Decimal Number882.3%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n143142.4%
 
a83324.7%
 
i1945.7%
 
e1885.6%
 
s1414.2%
 
t1333.9%
 
f942.8%
 
d942.8%
 
r611.8%
 
y491.5%
 
o391.2%
 
h391.2%
 
m331.0%
 
w331.0%
 
u130.4%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
54753.4%
 
42831.8%
 
366.8%
 
255.7%
 
122.3%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
188100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S8059.3%
 
V4936.3%
 
N64.4%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin351092.7%
 
Common2767.3%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n143140.8%
 
a83323.7%
 
i1945.5%
 
e1885.4%
 
s1414.0%
 
t1333.8%
 
f942.7%
 
d942.7%
 
S802.3%
 
r611.7%
 
V491.4%
 
y491.4%
 
o391.1%
 
h391.1%
 
m330.9%
 
w330.9%
 
u130.4%
 
N60.2%
 

Most frequent Common characters

ValueCountFrequency (%) 
18868.1%
 
54717.0%
 
42810.1%
 
362.2%
 
251.8%
 
120.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII3786100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n143137.8%
 
a83322.0%
 
i1945.1%
 
1885.0%
 
e1885.0%
 
s1413.7%
 
t1333.5%
 
f942.5%
 
d942.5%
 
S802.1%
 
r611.6%
 
V491.3%
 
y491.3%
 
5471.2%
 
o391.0%
 
h391.0%
 
m330.9%
 
w330.9%
 
4280.7%
 
u130.3%
 
360.2%
 
N60.2%
 
250.1%
 
120.1%
 
Distinct4
Distinct (%)20.0%
Missing774
Missing (%)97.5%
Memory size6.3 KiB
5 Very Satisfied
13 
4 Somewhat satisfied
3 Neither satisfied nor unsatisfied
2 Somewhat unsatisfied
ValueCountFrequency (%) 
5 Very Satisfied131.6%
 
4 Somewhat satisfied30.4%
 
3 Neither satisfied nor unsatisfied20.3%
 
2 Somewhat unsatisfied20.3%
 
(Missing)77497.5%
 
2020-12-12T18:42:07.951671image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:07.995709image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:08.058763image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length35
Median length3
Mean length3.405541562
Min length3

Overview of Unicode Properties

Unique unicode characters23
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n155457.5%
 
a80129.6%
 
i461.7%
 
441.6%
 
e441.6%
 
s311.1%
 
t291.1%
 
f220.8%
 
d220.8%
 
S180.7%
 
r170.6%
 
5130.5%
 
V130.5%
 
y130.5%
 
o70.3%
 
h70.3%
 
m50.2%
 
w50.2%
 
u40.1%
 
430.1%
 
220.1%
 
320.1%
 
N20.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter260796.4%
 
Space Separator441.6%
 
Uppercase Letter331.2%
 
Decimal Number200.7%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n155459.6%
 
a80130.7%
 
i461.8%
 
e441.7%
 
s311.2%
 
t291.1%
 
f220.8%
 
d220.8%
 
r170.7%
 
y130.5%
 
o70.3%
 
h70.3%
 
m50.2%
 
w50.2%
 
u40.2%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
51365.0%
 
4315.0%
 
2210.0%
 
3210.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
44100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S1854.5%
 
V1339.4%
 
N26.1%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin264097.6%
 
Common642.4%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n155458.9%
 
a80130.3%
 
i461.7%
 
e441.7%
 
s311.2%
 
t291.1%
 
f220.8%
 
d220.8%
 
S180.7%
 
r170.6%
 
V130.5%
 
y130.5%
 
o70.3%
 
h70.3%
 
m50.2%
 
w50.2%
 
u40.2%
 
N20.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
4468.8%
 
51320.3%
 
434.7%
 
223.1%
 
323.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2704100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n155457.5%
 
a80129.6%
 
i461.7%
 
441.6%
 
e441.6%
 
s311.1%
 
t291.1%
 
f220.8%
 
d220.8%
 
S180.7%
 
r170.6%
 
5130.5%
 
V130.5%
 
y130.5%
 
o70.3%
 
h70.3%
 
m50.2%
 
w50.2%
 
u40.1%
 
430.1%
 
220.1%
 
320.1%
 
N20.1%
 
Distinct5
Distinct (%)20.0%
Missing769
Missing (%)96.9%
Memory size6.3 KiB
4 Somewhat satisfied
2 Somewhat unsatisfied
1 Very unsatisfied
5 Very Satisfied
3 Neither satisfied nor unsatisfied
ValueCountFrequency (%) 
4 Somewhat satisfied70.9%
 
2 Somewhat unsatisfied70.9%
 
1 Very unsatisfied50.6%
 
5 Very Satisfied40.5%
 
3 Neither satisfied nor unsatisfied20.3%
 
(Missing)76996.9%
 
2020-12-12T18:42:08.132827image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:08.179868image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:08.246925image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length35
Median length3
Mean length3.557934509
Min length3

Overview of Unicode Properties

Unique unicode characters24
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n155455.0%
 
a81028.7%
 
i562.0%
 
541.9%
 
e541.9%
 
s501.8%
 
t431.5%
 
f271.0%
 
d271.0%
 
S180.6%
 
o160.6%
 
h160.6%
 
m140.5%
 
w140.5%
 
u140.5%
 
r130.5%
 
V90.3%
 
y90.3%
 
270.2%
 
470.2%
 
150.2%
 
540.1%
 
320.1%
 
N20.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter271796.2%
 
Space Separator541.9%
 
Uppercase Letter291.0%
 
Decimal Number250.9%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n155457.2%
 
a81029.8%
 
i562.1%
 
e542.0%
 
s501.8%
 
t431.6%
 
f271.0%
 
d271.0%
 
o160.6%
 
h160.6%
 
m140.5%
 
w140.5%
 
u140.5%
 
r130.5%
 
y90.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
2728.0%
 
4728.0%
 
1520.0%
 
5416.0%
 
328.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
54100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S1862.1%
 
V931.0%
 
N26.9%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin274697.2%
 
Common792.8%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n155456.6%
 
a81029.5%
 
i562.0%
 
e542.0%
 
s501.8%
 
t431.6%
 
f271.0%
 
d271.0%
 
S180.7%
 
o160.6%
 
h160.6%
 
m140.5%
 
w140.5%
 
u140.5%
 
r130.5%
 
V90.3%
 
y90.3%
 
N20.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
5468.4%
 
278.9%
 
478.9%
 
156.3%
 
545.1%
 
322.5%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2825100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n155455.0%
 
a81028.7%
 
i562.0%
 
541.9%
 
e541.9%
 
s501.8%
 
t431.5%
 
f271.0%
 
d271.0%
 
S180.6%
 
o160.6%
 
h160.6%
 
m140.5%
 
w140.5%
 
u140.5%
 
r130.5%
 
V90.3%
 
y90.3%
 
270.2%
 
470.2%
 
150.2%
 
540.1%
 
320.1%
 
N20.1%
 
Distinct5
Distinct (%)41.7%
Missing782
Missing (%)98.5%
Memory size6.3 KiB
5 Very Satisfied
3 Neither satisfied nor unsatisfied
2 Somewhat unsatisfied
4 Somewhat satisfied
1 Very unsatisfied
ValueCountFrequency (%) 
5 Very Satisfied60.8%
 
3 Neither satisfied nor unsatisfied20.3%
 
2 Somewhat unsatisfied20.3%
 
4 Somewhat satisfied10.1%
 
1 Very unsatisfied10.1%
 
(Missing)78298.5%
 
2020-12-12T18:42:08.321489image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)16.7%
2020-12-12T18:42:08.369531image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:08.437089image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length35
Median length3
Mean length3.267002519
Min length3

Overview of Unicode Properties

Unique unicode characters24
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n157160.6%
 
a79930.8%
 
i301.2%
 
281.1%
 
e281.1%
 
s220.8%
 
t190.7%
 
f140.5%
 
d140.5%
 
r110.4%
 
S90.3%
 
V70.3%
 
y70.3%
 
560.2%
 
o50.2%
 
h50.2%
 
u50.2%
 
m30.1%
 
w30.1%
 
220.1%
 
320.1%
 
N20.1%
 
41< 0.1%
 
11< 0.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter253697.8%
 
Space Separator281.1%
 
Uppercase Letter180.7%
 
Decimal Number120.5%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n157161.9%
 
a79931.5%
 
i301.2%
 
e281.1%
 
s220.9%
 
t190.7%
 
f140.6%
 
d140.6%
 
r110.4%
 
y70.3%
 
o50.2%
 
h50.2%
 
u50.2%
 
m30.1%
 
w30.1%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
5650.0%
 
2216.7%
 
3216.7%
 
418.3%
 
118.3%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
28100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S950.0%
 
V738.9%
 
N211.1%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin255498.5%
 
Common401.5%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n157161.5%
 
a79931.3%
 
i301.2%
 
e281.1%
 
s220.9%
 
t190.7%
 
f140.5%
 
d140.5%
 
r110.4%
 
S90.4%
 
V70.3%
 
y70.3%
 
o50.2%
 
h50.2%
 
u50.2%
 
m30.1%
 
w30.1%
 
N20.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
2870.0%
 
5615.0%
 
225.0%
 
325.0%
 
412.5%
 
112.5%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2594100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n157160.6%
 
a79930.8%
 
i301.2%
 
281.1%
 
e281.1%
 
s220.8%
 
t190.7%
 
f140.5%
 
d140.5%
 
r110.4%
 
S90.3%
 
V70.3%
 
y70.3%
 
560.2%
 
o50.2%
 
h50.2%
 
u50.2%
 
m30.1%
 
w30.1%
 
220.1%
 
320.1%
 
N20.1%
 
41< 0.1%
 
11< 0.1%
 
Distinct2
Distinct (%)22.2%
Missing785
Missing (%)98.9%
Memory size6.3 KiB
5 Very Satisfied
4 Somewhat satisfied
ValueCountFrequency (%) 
5 Very Satisfied70.9%
 
4 Somewhat satisfied20.3%
 
(Missing)78598.9%
 
2020-12-12T18:42:08.507649image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:08.549185image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:08.602231image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length20
Median length3
Mean length3.15743073
Min length3

Overview of Unicode Properties

Unique unicode characters19
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n157062.6%
 
a79631.8%
 
180.7%
 
e180.7%
 
i180.7%
 
t110.4%
 
s110.4%
 
S90.4%
 
f90.4%
 
d90.4%
 
570.3%
 
V70.3%
 
r70.3%
 
y70.3%
 
420.1%
 
o20.1%
 
m20.1%
 
w20.1%
 
h20.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter246498.3%
 
Space Separator180.7%
 
Uppercase Letter160.6%
 
Decimal Number90.4%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n157063.7%
 
a79632.3%
 
e180.7%
 
i180.7%
 
t110.4%
 
s110.4%
 
f90.4%
 
d90.4%
 
r70.3%
 
y70.3%
 
o20.1%
 
m20.1%
 
w20.1%
 
h20.1%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
5777.8%
 
4222.2%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
18100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S956.2%
 
V743.8%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin248098.9%
 
Common271.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n157063.3%
 
a79632.1%
 
e180.7%
 
i180.7%
 
t110.4%
 
s110.4%
 
S90.4%
 
f90.4%
 
d90.4%
 
V70.3%
 
r70.3%
 
y70.3%
 
o20.1%
 
m20.1%
 
w20.1%
 
h20.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
1866.7%
 
5725.9%
 
427.4%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2507100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n157062.6%
 
a79631.8%
 
180.7%
 
e180.7%
 
i180.7%
 
t110.4%
 
s110.4%
 
S90.4%
 
f90.4%
 
d90.4%
 
570.3%
 
V70.3%
 
r70.3%
 
y70.3%
 
420.1%
 
o20.1%
 
m20.1%
 
w20.1%
 
h20.1%
 
Distinct5
Distinct (%)17.2%
Missing765
Missing (%)96.3%
Memory size6.3 KiB
5 Very Satisfied
14 
4 Somewhat satisfied
2 Somewhat unsatisfied
3 Neither satisfied nor unsatisfied
1 Very unsatisfied
ValueCountFrequency (%) 
5 Very Satisfied141.8%
 
4 Somewhat satisfied81.0%
 
2 Somewhat unsatisfied30.4%
 
3 Neither satisfied nor unsatisfied20.3%
 
1 Very unsatisfied20.3%
 
(Missing)76596.3%
 
2020-12-12T18:42:08.676795image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:08.723335image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:08.791394image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length35
Median length3
Mean length3.590680101
Min length3

Overview of Unicode Properties

Unique unicode characters24
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n153954.0%
 
a80728.3%
 
i642.2%
 
622.2%
 
e622.2%
 
s481.7%
 
t441.5%
 
f311.1%
 
d311.1%
 
S250.9%
 
r200.7%
 
V160.6%
 
y160.6%
 
5140.5%
 
o130.5%
 
h130.5%
 
m110.4%
 
w110.4%
 
480.3%
 
u70.2%
 
230.1%
 
120.1%
 
320.1%
 
N20.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter271795.3%
 
Space Separator622.2%
 
Uppercase Letter431.5%
 
Decimal Number291.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n153956.6%
 
a80729.7%
 
i642.4%
 
e622.3%
 
s481.8%
 
t441.6%
 
f311.1%
 
d311.1%
 
r200.7%
 
y160.6%
 
o130.5%
 
h130.5%
 
m110.4%
 
w110.4%
 
u70.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
51448.3%
 
4827.6%
 
2310.3%
 
126.9%
 
326.9%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
62100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S2558.1%
 
V1637.2%
 
N24.7%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin276096.8%
 
Common913.2%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n153955.8%
 
a80729.2%
 
i642.3%
 
e622.2%
 
s481.7%
 
t441.6%
 
f311.1%
 
d311.1%
 
S250.9%
 
r200.7%
 
V160.6%
 
y160.6%
 
o130.5%
 
h130.5%
 
m110.4%
 
w110.4%
 
u70.3%
 
N20.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
6268.1%
 
51415.4%
 
488.8%
 
233.3%
 
122.2%
 
322.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2851100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n153954.0%
 
a80728.3%
 
i642.2%
 
622.2%
 
e622.2%
 
s481.7%
 
t441.5%
 
f311.1%
 
d311.1%
 
S250.9%
 
r200.7%
 
V160.6%
 
y160.6%
 
5140.5%
 
o130.5%
 
h130.5%
 
m110.4%
 
w110.4%
 
480.3%
 
u70.2%
 
230.1%
 
120.1%
 
320.1%
 
N20.1%
 
Distinct3
Distinct (%)75.0%
Missing790
Missing (%)99.5%
Memory size6.3 KiB
5 Very Satisfied
2 Somewhat unsatisfied
1 Very unsatisfied
ValueCountFrequency (%) 
5 Very Satisfied20.3%
 
2 Somewhat unsatisfied10.1%
 
1 Very unsatisfied10.1%
 
(Missing)79099.5%
 
2020-12-12T18:42:08.865457image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)50.0%
2020-12-12T18:42:08.911998image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:08.977554image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length22
Median length3
Mean length3.075566751
Min length3

Overview of Unicode Properties

Unique unicode characters21
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n158264.8%
 
a79532.6%
 
80.3%
 
e80.3%
 
i80.3%
 
s60.2%
 
t50.2%
 
f40.2%
 
d40.2%
 
V30.1%
 
r30.1%
 
y30.1%
 
S30.1%
 
520.1%
 
u20.1%
 
11< 0.1%
 
21< 0.1%
 
o1< 0.1%
 
m1< 0.1%
 
w1< 0.1%
 
h1< 0.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter242499.3%
 
Space Separator80.3%
 
Uppercase Letter60.2%
 
Decimal Number40.2%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n158265.3%
 
a79532.8%
 
e80.3%
 
i80.3%
 
s60.2%
 
t50.2%
 
f40.2%
 
d40.2%
 
r30.1%
 
y30.1%
 
u20.1%
 
o1< 0.1%
 
m1< 0.1%
 
w1< 0.1%
 
h1< 0.1%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
5250.0%
 
1125.0%
 
2125.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
8100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
V350.0%
 
S350.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin243099.5%
 
Common120.5%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n158265.1%
 
a79532.7%
 
e80.3%
 
i80.3%
 
s60.2%
 
t50.2%
 
f40.2%
 
d40.2%
 
V30.1%
 
r30.1%
 
y30.1%
 
S30.1%
 
u20.1%
 
o1< 0.1%
 
m1< 0.1%
 
w1< 0.1%
 
h1< 0.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
866.7%
 
5216.7%
 
118.3%
 
218.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2442100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n158264.8%
 
a79532.6%
 
80.3%
 
e80.3%
 
i80.3%
 
s60.2%
 
t50.2%
 
f40.2%
 
d40.2%
 
V30.1%
 
r30.1%
 
y30.1%
 
S30.1%
 
520.1%
 
u20.1%
 
11< 0.1%
 
21< 0.1%
 
o1< 0.1%
 
m1< 0.1%
 
w1< 0.1%
 
h1< 0.1%
 
Distinct4
Distinct (%)80.0%
Missing789
Missing (%)99.4%
Memory size6.3 KiB
5 Very Satisfied
3 Neither satisfied nor unsatisfied
4 Somewhat satisfied
1 Very unsatisfied
ValueCountFrequency (%) 
5 Very Satisfied20.3%
 
3 Neither satisfied nor unsatisfied10.1%
 
4 Somewhat satisfied10.1%
 
1 Very unsatisfied10.1%
 
(Missing)78999.4%
 
2020-12-12T18:42:09.052619image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)60.0%
2020-12-12T18:42:09.100159image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:09.163714image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length35
Median length3
Mean length3.113350126
Min length3

Overview of Unicode Properties

Unique unicode characters23
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n158164.0%
 
a79632.2%
 
i130.5%
 
120.5%
 
e120.5%
 
s100.4%
 
t80.3%
 
f60.2%
 
d60.2%
 
r50.2%
 
S30.1%
 
V30.1%
 
y30.1%
 
o20.1%
 
h20.1%
 
520.1%
 
u20.1%
 
41< 0.1%
 
m1< 0.1%
 
w1< 0.1%
 
31< 0.1%
 
N1< 0.1%
 
11< 0.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter244899.0%
 
Space Separator120.5%
 
Uppercase Letter70.3%
 
Decimal Number50.2%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n158164.6%
 
a79632.5%
 
i130.5%
 
e120.5%
 
s100.4%
 
t80.3%
 
f60.2%
 
d60.2%
 
r50.2%
 
y30.1%
 
o20.1%
 
h20.1%
 
u20.1%
 
m1< 0.1%
 
w1< 0.1%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
5240.0%
 
4120.0%
 
3120.0%
 
1120.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
12100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S342.9%
 
V342.9%
 
N114.3%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin245599.3%
 
Common170.7%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n158164.4%
 
a79632.4%
 
i130.5%
 
e120.5%
 
s100.4%
 
t80.3%
 
f60.2%
 
d60.2%
 
r50.2%
 
S30.1%
 
V30.1%
 
y30.1%
 
o20.1%
 
h20.1%
 
u20.1%
 
m1< 0.1%
 
w1< 0.1%
 
N1< 0.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
1270.6%
 
5211.8%
 
415.9%
 
315.9%
 
115.9%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2472100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n158164.0%
 
a79632.2%
 
i130.5%
 
120.5%
 
e120.5%
 
s100.4%
 
t80.3%
 
f60.2%
 
d60.2%
 
r50.2%
 
S30.1%
 
V30.1%
 
y30.1%
 
o20.1%
 
h20.1%
 
520.1%
 
u20.1%
 
41< 0.1%
 
m1< 0.1%
 
w1< 0.1%
 
31< 0.1%
 
N1< 0.1%
 
11< 0.1%
 
Distinct5
Distinct (%)31.2%
Missing778
Missing (%)98.0%
Memory size6.3 KiB
2 Somewhat unsatisfied
1 Very unsatisfied
4 Somewhat satisfied
3 Neither satisfied nor unsatisfied
5 Very Satisfied
ValueCountFrequency (%) 
2 Somewhat unsatisfied50.6%
 
1 Very unsatisfied40.5%
 
4 Somewhat satisfied30.4%
 
3 Neither satisfied nor unsatisfied20.3%
 
5 Very Satisfied20.3%
 
(Missing)77898.0%
 
2020-12-12T18:42:09.238779image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:09.287821image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:09.355379image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length35
Median length3
Mean length3.37279597
Min length3

Overview of Unicode Properties

Unique unicode characters24
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n156958.6%
 
a80430.0%
 
i381.4%
 
361.3%
 
e361.3%
 
s341.3%
 
t281.0%
 
f180.7%
 
d180.7%
 
u110.4%
 
S100.4%
 
o100.4%
 
h100.4%
 
r100.4%
 
m80.3%
 
w80.3%
 
V60.2%
 
y60.2%
 
250.2%
 
140.1%
 
430.1%
 
520.1%
 
320.1%
 
N20.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter260897.4%
 
Space Separator361.3%
 
Uppercase Letter180.7%
 
Decimal Number160.6%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n156960.2%
 
a80430.8%
 
i381.5%
 
e361.4%
 
s341.3%
 
t281.1%
 
f180.7%
 
d180.7%
 
u110.4%
 
o100.4%
 
h100.4%
 
r100.4%
 
m80.3%
 
w80.3%
 
y60.2%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
2531.2%
 
1425.0%
 
4318.8%
 
5212.5%
 
3212.5%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
36100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S1055.6%
 
V633.3%
 
N211.1%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin262698.1%
 
Common521.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n156959.7%
 
a80430.6%
 
i381.4%
 
e361.4%
 
s341.3%
 
t281.1%
 
f180.7%
 
d180.7%
 
u110.4%
 
S100.4%
 
o100.4%
 
h100.4%
 
r100.4%
 
m80.3%
 
w80.3%
 
V60.2%
 
y60.2%
 
N20.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
3669.2%
 
259.6%
 
147.7%
 
435.8%
 
523.8%
 
323.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2678100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n156958.6%
 
a80430.0%
 
i381.4%
 
361.3%
 
e361.3%
 
s341.3%
 
t281.0%
 
f180.7%
 
d180.7%
 
u110.4%
 
S100.4%
 
o100.4%
 
h100.4%
 
r100.4%
 
m80.3%
 
w80.3%
 
V60.2%
 
y60.2%
 
250.2%
 
140.1%
 
430.1%
 
520.1%
 
320.1%
 
N20.1%
 
Distinct5
Distinct (%)17.9%
Missing766
Missing (%)96.5%
Memory size6.3 KiB
5 Very Satisfied
12 
3 Neither satisfied nor unsatisfied
4 Somewhat satisfied
2 Somewhat unsatisfied
1 Very unsatisfied
ValueCountFrequency (%) 
5 Very Satisfied121.5%
 
3 Neither satisfied nor unsatisfied60.8%
 
4 Somewhat satisfied60.8%
 
2 Somewhat unsatisfied20.3%
 
1 Very unsatisfied20.3%
 
(Missing)76696.5%
 
2020-12-12T18:42:09.429443image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:09.477984image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:09.546544image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length35
Median length3
Mean length3.652392947
Min length3

Overview of Unicode Properties

Unique unicode characters24
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n154853.4%
 
a80827.9%
 
i742.6%
 
682.3%
 
e682.3%
 
s561.9%
 
t481.7%
 
f341.2%
 
d341.2%
 
r260.9%
 
S200.7%
 
o140.5%
 
h140.5%
 
V140.5%
 
y140.5%
 
5120.4%
 
u100.3%
 
m80.3%
 
w80.3%
 
360.2%
 
N60.2%
 
460.2%
 
220.1%
 
120.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter276495.3%
 
Space Separator682.3%
 
Uppercase Letter401.4%
 
Decimal Number281.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n154856.0%
 
a80829.2%
 
i742.7%
 
e682.5%
 
s562.0%
 
t481.7%
 
f341.2%
 
d341.2%
 
r260.9%
 
o140.5%
 
h140.5%
 
y140.5%
 
u100.4%
 
m80.3%
 
w80.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
51242.9%
 
3621.4%
 
4621.4%
 
227.1%
 
127.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
68100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S2050.0%
 
V1435.0%
 
N615.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin280496.7%
 
Common963.3%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n154855.2%
 
a80828.8%
 
i742.6%
 
e682.4%
 
s562.0%
 
t481.7%
 
f341.2%
 
d341.2%
 
r260.9%
 
S200.7%
 
o140.5%
 
h140.5%
 
V140.5%
 
y140.5%
 
u100.4%
 
m80.3%
 
w80.3%
 
N60.2%
 

Most frequent Common characters

ValueCountFrequency (%) 
6870.8%
 
51212.5%
 
366.2%
 
466.2%
 
222.1%
 
122.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2900100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n154853.4%
 
a80827.9%
 
i742.6%
 
682.3%
 
e682.3%
 
s561.9%
 
t481.7%
 
f341.2%
 
d341.2%
 
r260.9%
 
S200.7%
 
o140.5%
 
h140.5%
 
V140.5%
 
y140.5%
 
5120.4%
 
u100.3%
 
m80.3%
 
w80.3%
 
360.2%
 
N60.2%
 
460.2%
 
220.1%
 
120.1%
 
Distinct5
Distinct (%)17.9%
Missing766
Missing (%)96.5%
Memory size6.3 KiB
5 Very Satisfied
10 
1 Very unsatisfied
4 Somewhat satisfied
3 Neither satisfied nor unsatisfied
2 Somewhat unsatisfied
ValueCountFrequency (%) 
5 Very Satisfied101.3%
 
1 Very unsatisfied70.9%
 
4 Somewhat satisfied50.6%
 
3 Neither satisfied nor unsatisfied30.4%
 
2 Somewhat unsatisfied30.4%
 
(Missing)76696.5%
 
2020-12-12T18:42:09.622609image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:09.675154image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:09.744214image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length35
Median length3
Mean length3.595717884
Min length3

Overview of Unicode Properties

Unique unicode characters24
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n154854.2%
 
a80528.2%
 
i652.3%
 
622.2%
 
e622.2%
 
s521.8%
 
t421.5%
 
f311.1%
 
d311.1%
 
r230.8%
 
S180.6%
 
V170.6%
 
y170.6%
 
u130.5%
 
o110.4%
 
h110.4%
 
5100.4%
 
m80.3%
 
w80.3%
 
170.2%
 
450.2%
 
230.1%
 
330.1%
 
N30.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter272795.5%
 
Space Separator622.2%
 
Uppercase Letter381.3%
 
Decimal Number281.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n154856.8%
 
a80529.5%
 
i652.4%
 
e622.3%
 
s521.9%
 
t421.5%
 
f311.1%
 
d311.1%
 
r230.8%
 
y170.6%
 
u130.5%
 
o110.4%
 
h110.4%
 
m80.3%
 
w80.3%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
51035.7%
 
1725.0%
 
4517.9%
 
2310.7%
 
3310.7%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
62100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S1847.4%
 
V1744.7%
 
N37.9%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin276596.8%
 
Common903.2%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n154856.0%
 
a80529.1%
 
i652.4%
 
e622.2%
 
s521.9%
 
t421.5%
 
f311.1%
 
d311.1%
 
r230.8%
 
S180.7%
 
V170.6%
 
y170.6%
 
u130.5%
 
o110.4%
 
h110.4%
 
m80.3%
 
w80.3%
 
N30.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
6268.9%
 
51011.1%
 
177.8%
 
455.6%
 
233.3%
 
333.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2855100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n154854.2%
 
a80528.2%
 
i652.3%
 
622.2%
 
e622.2%
 
s521.8%
 
t421.5%
 
f311.1%
 
d311.1%
 
r230.8%
 
S180.6%
 
V170.6%
 
y170.6%
 
u130.5%
 
o110.4%
 
h110.4%
 
5100.4%
 
m80.3%
 
w80.3%
 
170.2%
 
450.2%
 
230.1%
 
330.1%
 
N30.1%
 
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
632 
1
162 
ValueCountFrequency (%) 
063279.6%
 
116220.4%
 
2020-12-12T18:42:09.793756image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
738 
1
 
56
ValueCountFrequency (%) 
073892.9%
 
1567.1%
 
2020-12-12T18:42:09.819779image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
677 
1
117 
ValueCountFrequency (%) 
067785.3%
 
111714.7%
 
2020-12-12T18:42:09.845801image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
539 
1
255 
ValueCountFrequency (%) 
053967.9%
 
125532.1%
 
2020-12-12T18:42:09.871824image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
648 
1
146 
ValueCountFrequency (%) 
064881.6%
 
114618.4%
 
2020-12-12T18:42:09.897846image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
574 
1
220 
ValueCountFrequency (%) 
057472.3%
 
122027.7%
 
2020-12-12T18:42:09.923868image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
586 
1
208 
ValueCountFrequency (%) 
058673.8%
 
120826.2%
 
2020-12-12T18:42:09.949891image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
749 
1
 
45
ValueCountFrequency (%) 
074994.3%
 
1455.7%
 
2020-12-12T18:42:09.975913image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
682 
1
112 
ValueCountFrequency (%) 
068285.9%
 
111214.1%
 
2020-12-12T18:42:10.001936image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
576 
1
218 
ValueCountFrequency (%) 
057672.5%
 
121827.5%
 
2020-12-12T18:42:10.027958image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
769 
1
 
25
ValueCountFrequency (%) 
076996.9%
 
1253.1%
 
2020-12-12T18:42:10.053480image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
492 
1
302 
ValueCountFrequency (%) 
049262.0%
 
130238.0%
 
2020-12-12T18:42:10.079502image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
744 
1
 
50
ValueCountFrequency (%) 
074493.7%
 
1506.3%
 
2020-12-12T18:42:10.105525image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Don't know / NA
221 
4 Somewhat agree
161 
3 Neither agree nor disagree
148 
1 Strongly disagree
112 
5 Strongly agree
94 
ValueCountFrequency (%) 
Don't know / NA22127.8%
 
4 Somewhat agree16120.3%
 
3 Neither agree nor disagree14818.6%
 
1 Strongly disagree11214.1%
 
5 Strongly agree9411.8%
 
2 Somewhat disagree587.3%
 
2020-12-12T18:42:10.160572image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:10.213117image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:10.280175image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length16
Mean length18.60075567
Min length15

Overview of Unicode Properties

Unique unicode characters28
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
210514.3%
 
e195713.3%
 
r12238.3%
 
o10156.9%
 
a9406.4%
 
g9276.3%
 
n7965.4%
 
t7945.4%
 
i4663.2%
 
w4403.0%
 
S4252.9%
 
N3692.5%
 
h3672.5%
 
d3182.2%
 
s3182.2%
 
D2211.5%
 
'2211.5%
 
k2211.5%
 
/2211.5%
 
A2211.5%
 
m2191.5%
 
l2061.4%
 
y2061.4%
 
41611.1%
 
31481.0%
 
Other values (3)2641.8%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1041370.5%
 
Space Separator210514.3%
 
Uppercase Letter12368.4%
 
Decimal Number5733.9%
 
Other Punctuation4423.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
416128.1%
 
314825.8%
 
111219.5%
 
59416.4%
 
25810.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
2105100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S42534.4%
 
N36929.9%
 
D22117.9%
 
A22117.9%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e195718.8%
 
r122311.7%
 
o10159.7%
 
a9409.0%
 
g9278.9%
 
n7967.6%
 
t7947.6%
 
i4664.5%
 
w4404.2%
 
h3673.5%
 
d3183.1%
 
s3183.1%
 
k2212.1%
 
m2192.1%
 
l2062.0%
 
y2062.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'22150.0%
 
/22150.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1164978.9%
 
Common312021.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
210567.5%
 
'2217.1%
 
/2217.1%
 
41615.2%
 
31484.7%
 
11123.6%
 
5943.0%
 
2581.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e195716.8%
 
r122310.5%
 
o10158.7%
 
a9408.1%
 
g9278.0%
 
n7966.8%
 
t7946.8%
 
i4664.0%
 
w4403.8%
 
S4253.6%
 
N3693.2%
 
h3673.2%
 
d3182.7%
 
s3182.7%
 
D2211.9%
 
k2211.9%
 
A2211.9%
 
m2191.9%
 
l2061.8%
 
y2061.8%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII14769100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
210514.3%
 
e195713.3%
 
r12238.3%
 
o10156.9%
 
a9406.4%
 
g9276.3%
 
n7965.4%
 
t7945.4%
 
i4663.2%
 
w4403.0%
 
S4252.9%
 
N3692.5%
 
h3672.5%
 
d3182.2%
 
s3182.2%
 
D2211.5%
 
'2211.5%
 
k2211.5%
 
/2211.5%
 
A2211.5%
 
m2191.5%
 
l2061.4%
 
y2061.4%
 
41611.1%
 
31481.0%
 
Other values (3)2641.8%
 
Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Don't know / NA
253 
4 Somewhat agree
173 
5 Strongly agree
145 
3 Neither agree nor disagree
95 
1 Strongly disagree
86 
ValueCountFrequency (%) 
Don't know / NA25331.9%
 
4 Somewhat agree17321.8%
 
5 Strongly agree14518.3%
 
3 Neither agree nor disagree9512.0%
 
1 Strongly disagree8610.8%
 
2 Somewhat disagree425.3%
 
2020-12-12T18:42:10.349735image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:10.396775image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:10.465835image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length28
Median length16
Mean length17.60075567
Min length15

Overview of Unicode Properties

Unique unicode characters28
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
203114.5%
 
e167712.0%
 
r10577.6%
 
o10477.5%
 
g8676.2%
 
a8516.1%
 
n8326.0%
 
t7945.7%
 
w4683.3%
 
S4463.2%
 
N3482.5%
 
i3182.3%
 
h3102.2%
 
D2531.8%
 
'2531.8%
 
k2531.8%
 
/2531.8%
 
A2531.8%
 
l2311.7%
 
y2311.7%
 
d2231.6%
 
s2231.6%
 
m2151.5%
 
41731.2%
 
51451.0%
 
Other values (3)2231.6%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter959768.7%
 
Space Separator203114.5%
 
Uppercase Letter13009.3%
 
Decimal Number5413.9%
 
Other Punctuation5063.6%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
417332.0%
 
514526.8%
 
39517.6%
 
18615.9%
 
2427.8%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
2031100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
S44634.3%
 
N34826.8%
 
D25319.5%
 
A25319.5%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e167717.5%
 
r105711.0%
 
o104710.9%
 
g8679.0%
 
a8518.9%
 
n8328.7%
 
t7948.3%
 
w4684.9%
 
i3183.3%
 
h3103.2%
 
k2532.6%
 
l2312.4%
 
y2312.4%
 
d2232.3%
 
s2232.3%
 
m2152.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'25350.0%
 
/25350.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1089778.0%
 
Common307822.0%
 

Most frequent Common characters

ValueCountFrequency (%) 
203166.0%
 
'2538.2%
 
/2538.2%
 
41735.6%
 
51454.7%
 
3953.1%
 
1862.8%
 
2421.4%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e167715.4%
 
r10579.7%
 
o10479.6%
 
g8678.0%
 
a8517.8%
 
n8327.6%
 
t7947.3%
 
w4684.3%
 
S4464.1%
 
N3483.2%
 
i3182.9%
 
h3102.8%
 
D2532.3%
 
k2532.3%
 
A2532.3%
 
l2312.1%
 
y2312.1%
 
d2232.0%
 
s2232.0%
 
m2152.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII13975100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
203114.5%
 
e167712.0%
 
r10577.6%
 
o10477.5%
 
g8676.2%
 
a8516.1%
 
n8326.0%
 
t7945.7%
 
w4683.3%
 
S4463.2%
 
N3482.5%
 
i3182.3%
 
h3102.2%
 
D2531.8%
 
'2531.8%
 
k2531.8%
 
/2531.8%
 
A2531.8%
 
l2311.7%
 
y2311.7%
 
d2231.6%
 
s2231.6%
 
m2151.5%
 
41731.2%
 
51451.0%
 
Other values (3)2231.6%
 
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
512 
1
282 
ValueCountFrequency (%) 
051264.5%
 
128235.5%
 
2020-12-12T18:42:10.512875image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
521 
1
273 
ValueCountFrequency (%) 
052165.6%
 
127334.4%
 
2020-12-12T18:42:10.538898image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
582 
1
212 
ValueCountFrequency (%) 
058273.3%
 
121226.7%
 
2020-12-12T18:42:10.564420image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
570 
1
224 
ValueCountFrequency (%) 
057071.8%
 
122428.2%
 
2020-12-12T18:42:10.589942image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
493 
1
301 
ValueCountFrequency (%) 
049362.1%
 
130137.9%
 
2020-12-12T18:42:10.615463image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
601 
1
193 
ValueCountFrequency (%) 
060175.7%
 
119324.3%
 
2020-12-12T18:42:10.640985image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
554 
1
240 
ValueCountFrequency (%) 
055469.8%
 
124030.2%
 
2020-12-12T18:42:10.667008image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
692 
1
102 
ValueCountFrequency (%) 
069287.2%
 
110212.8%
 
2020-12-12T18:42:10.693030image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
613 
1
181 
ValueCountFrequency (%) 
061377.2%
 
118122.8%
 
2020-12-12T18:42:10.718552image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
569 
1
225 
ValueCountFrequency (%) 
056971.7%
 
122528.3%
 
2020-12-12T18:42:10.744074image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
627 
1
167 
ValueCountFrequency (%) 
062779.0%
 
116721.0%
 
2020-12-12T18:42:10.770096image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
0
783 
1
 
11
ValueCountFrequency (%) 
078398.6%
 
1111.4%
 
2020-12-12T18:42:10.795618image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

OSType
Categorical

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Windows
503 
Mac (OS X)
129 
iOS
117 
Android
 
34
Linux
 
6
ValueCountFrequency (%) 
Windows50363.4%
 
Mac (OS X)12916.2%
 
iOS11714.7%
 
Android344.3%
 
Linux60.8%
 
Unknown50.6%
 
2020-12-12T18:42:10.845161image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:10.892201image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:10.957758image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length10
Median length7
Mean length6.882871537
Min length3

Overview of Unicode Properties

Unique unicode characters23
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
i66012.1%
 
d57110.4%
 
n55810.2%
 
o5429.9%
 
w5089.3%
 
W5039.2%
 
s5039.2%
 
2584.7%
 
O2464.5%
 
S2464.5%
 
M1292.4%
 
a1292.4%
 
c1292.4%
 
(1292.4%
 
X1292.4%
 
)1292.4%
 
A340.6%
 
r340.6%
 
L60.1%
 
u60.1%
 
x60.1%
 
U50.1%
 
k50.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter365166.8%
 
Uppercase Letter129823.8%
 
Space Separator2584.7%
 
Open Punctuation1292.4%
 
Close Punctuation1292.4%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
W50338.8%
 
O24619.0%
 
S24619.0%
 
M1299.9%
 
X1299.9%
 
A342.6%
 
L60.5%
 
U50.4%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
i66018.1%
 
d57115.6%
 
n55815.3%
 
o54214.8%
 
w50813.9%
 
s50313.8%
 
a1293.5%
 
c1293.5%
 
r340.9%
 
u60.2%
 
x60.2%
 
k50.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
258100.0%
 

Most frequent Open Punctuation characters

ValueCountFrequency (%) 
(129100.0%
 

Most frequent Close Punctuation characters

ValueCountFrequency (%) 
)129100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin494990.6%
 
Common5169.4%
 

Most frequent Latin characters

ValueCountFrequency (%) 
i66013.3%
 
d57111.5%
 
n55811.3%
 
o54211.0%
 
w50810.3%
 
W50310.2%
 
s50310.2%
 
O2465.0%
 
S2465.0%
 
M1292.6%
 
a1292.6%
 
c1292.6%
 
X1292.6%
 
A340.7%
 
r340.7%
 
L60.1%
 
u60.1%
 
x60.1%
 
U50.1%
 
k50.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
25850.0%
 
(12925.0%
 
)12925.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII5465100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
i66012.1%
 
d57110.4%
 
n55810.2%
 
o5429.9%
 
w5089.3%
 
W5039.2%
 
s5039.2%
 
2584.7%
 
O2464.5%
 
S2464.5%
 
M1292.4%
 
a1292.4%
 
c1292.4%
 
(1292.4%
 
X1292.4%
 
)1292.4%
 
A340.6%
 
r340.6%
 
L60.1%
 
u60.1%
 
x60.1%
 
U50.1%
 
k50.1%
 

DeviceType
Categorical

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Desktop
640 
Phone
87 
Tablet
67 
ValueCountFrequency (%) 
Desktop64080.6%
 
Phone8711.0%
 
Tablet678.4%
 
2020-12-12T18:42:11.029320image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:11.074859image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:11.130407image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length7
Mean length6.696473552
Min length5

Overview of Unicode Properties

Unique unicode characters14
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e79414.9%
 
o72713.7%
 
t70713.3%
 
D64012.0%
 
s64012.0%
 
k64012.0%
 
p64012.0%
 
P871.6%
 
h871.6%
 
n871.6%
 
T671.3%
 
a671.3%
 
b671.3%
 
l671.3%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter452385.1%
 
Uppercase Letter79414.9%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
D64080.6%
 
P8711.0%
 
T678.4%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e79417.6%
 
o72716.1%
 
t70715.6%
 
s64014.1%
 
k64014.1%
 
p64014.1%
 
h871.9%
 
n871.9%
 
a671.5%
 
b671.5%
 
l671.5%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin5317100.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e79414.9%
 
o72713.7%
 
t70713.3%
 
D64012.0%
 
s64012.0%
 
k64012.0%
 
p64012.0%
 
P871.6%
 
h871.6%
 
n871.6%
 
T671.3%
 
a671.3%
 
b671.3%
 
l671.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII5317100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e79414.9%
 
o72713.7%
 
t70713.3%
 
D64012.0%
 
s64012.0%
 
k64012.0%
 
p64012.0%
 
P871.6%
 
h871.6%
 
n871.6%
 
T671.3%
 
a671.3%
 
b671.3%
 
l671.3%
 

BrowserType
Categorical

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
Google Chrome
393 
Safari
186 
Firefox
111 
Internet Explorer
96 
Did not answer
 
3
Other values (2)
 
5
ValueCountFrequency (%) 
Google Chrome39349.5%
 
Safari18623.4%
 
Firefox11114.0%
 
Internet Explorer9612.1%
 
Did not answer30.4%
 
Unknown30.4%
 
Android20.3%
 
2020-12-12T18:42:11.207473image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:11.259017image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:11.329578image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length17
Median length13
Mean length10.97103275
Min length6

Overview of Unicode Properties

Unique unicode characters28
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
o139416.0%
 
e118813.6%
 
r98311.3%
 
4955.7%
 
l4895.6%
 
G3934.5%
 
g3934.5%
 
C3934.5%
 
h3934.5%
 
m3934.5%
 
a3754.3%
 
i3023.5%
 
f2973.4%
 
n2092.4%
 
x2072.4%
 
t1952.2%
 
S1862.1%
 
F1111.3%
 
I961.1%
 
E961.1%
 
p961.1%
 
d70.1%
 
w60.1%
 
D3< 0.1%
 
s3< 0.1%
 
Other values (3)80.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter693379.6%
 
Uppercase Letter128314.7%
 
Space Separator4955.7%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
G39330.6%
 
C39330.6%
 
S18614.5%
 
F1118.7%
 
I967.5%
 
E967.5%
 
D30.2%
 
U30.2%
 
A20.2%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
o139420.1%
 
e118817.1%
 
r98314.2%
 
l4897.1%
 
g3935.7%
 
h3935.7%
 
m3935.7%
 
a3755.4%
 
i3024.4%
 
f2974.3%
 
n2093.0%
 
x2073.0%
 
t1952.8%
 
p961.4%
 
d70.1%
 
w60.1%
 
s3< 0.1%
 
k3< 0.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
495100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin821694.3%
 
Common4955.7%
 

Most frequent Latin characters

ValueCountFrequency (%) 
o139417.0%
 
e118814.5%
 
r98312.0%
 
l4896.0%
 
G3934.8%
 
g3934.8%
 
C3934.8%
 
h3934.8%
 
m3934.8%
 
a3754.6%
 
i3023.7%
 
f2973.6%
 
n2092.5%
 
x2072.5%
 
t1952.4%
 
S1862.3%
 
F1111.4%
 
I961.2%
 
E961.2%
 
p961.2%
 
d70.1%
 
w60.1%
 
D3< 0.1%
 
s3< 0.1%
 
U3< 0.1%
 
Other values (2)50.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
495100.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII8711100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
o139416.0%
 
e118813.6%
 
r98311.3%
 
4955.7%
 
l4895.6%
 
G3934.5%
 
g3934.5%
 
C3934.5%
 
h3934.5%
 
m3934.5%
 
a3754.3%
 
i3023.5%
 
f2973.4%
 
n2092.4%
 
x2072.4%
 
t1952.2%
 
S1862.1%
 
F1111.3%
 
I961.1%
 
E961.1%
 
p961.1%
 
d70.1%
 
w60.1%
 
D3< 0.1%
 
s3< 0.1%
 
Other values (3)80.1%
 
Distinct2
Distinct (%)0.3%
Missing34
Missing (%)4.3%
Memory size6.3 KiB
Own
605 
Rent
155 
ValueCountFrequency (%) 
Own60576.2%
 
Rent15519.5%
 
(Missing)344.3%
 
2020-12-12T18:42:11.397136image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:11.438171image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:11.485712image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length4
Median length3
Mean length3.195214106
Min length3

Overview of Unicode Properties

Unique unicode characters7
Unique unicode categories2 ?
Unique unicode scripts1 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n82832.6%
 
O60523.8%
 
w60523.8%
 
R1556.1%
 
e1556.1%
 
t1556.1%
 
a341.3%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter177770.0%
 
Uppercase Letter76030.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
O60579.6%
 
R15520.4%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n82846.6%
 
w60534.0%
 
e1558.7%
 
t1558.7%
 
a341.9%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin2537100.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n82832.6%
 
O60523.8%
 
w60523.8%
 
R1556.1%
 
e1556.1%
 
t1556.1%
 
a341.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2537100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n82832.6%
 
O60523.8%
 
w60523.8%
 
R1556.1%
 
e1556.1%
 
t1556.1%
 
a341.3%
 
Distinct4
Distinct (%)0.5%
Missing27
Missing (%)3.4%
Memory size6.3 KiB
Female
422 
Male
316 
I prefer not to answer
 
28
Other
 
1
ValueCountFrequency (%) 
Female42253.1%
 
Male31639.8%
 
I prefer not to answer283.5%
 
Other10.1%
 
(Missing)273.4%
 
2020-12-12T18:42:11.553771image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)0.1%
2020-12-12T18:42:11.598309image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:11.660863image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length22
Median length6
Mean length5.664987406
Min length3

Overview of Unicode Properties

Unique unicode characters18
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e124527.7%
 
a79317.6%
 
l73816.4%
 
F4229.4%
 
m4229.4%
 
M3167.0%
 
1122.5%
 
n1102.4%
 
r851.9%
 
t571.3%
 
o561.2%
 
I280.6%
 
p280.6%
 
f280.6%
 
s280.6%
 
w280.6%
 
O1< 0.1%
 
h1< 0.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter361980.5%
 
Uppercase Letter76717.1%
 
Space Separator1122.5%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
F42255.0%
 
M31641.2%
 
I283.7%
 
O10.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e124534.4%
 
a79321.9%
 
l73820.4%
 
m42211.7%
 
n1103.0%
 
r852.3%
 
t571.6%
 
o561.5%
 
p280.8%
 
f280.8%
 
s280.8%
 
w280.8%
 
h1< 0.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
112100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin438697.5%
 
Common1122.5%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e124528.4%
 
a79318.1%
 
l73816.8%
 
F4229.6%
 
m4229.6%
 
M3167.2%
 
n1102.5%
 
r851.9%
 
t571.3%
 
o561.3%
 
I280.6%
 
p280.6%
 
f280.6%
 
s280.6%
 
w280.6%
 
O1< 0.1%
 
h1< 0.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
112100.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII4498100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e124527.7%
 
a79317.6%
 
l73816.4%
 
F4229.4%
 
m4229.4%
 
M3167.0%
 
1122.5%
 
n1102.4%
 
r851.9%
 
t571.3%
 
o561.2%
 
I280.6%
 
p280.6%
 
f280.6%
 
s280.6%
 
w280.6%
 
O1< 0.1%
 
h1< 0.1%
 
Distinct2
Distinct (%)0.3%
Missing32
Missing (%)4.0%
Memory size6.3 KiB
No
593 
Yes
169 
(Missing)
 
32
ValueCountFrequency (%) 
No59374.7%
 
Yes16921.3%
 
(Missing)324.0%
 
2020-12-12T18:42:11.712908image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct2
Distinct (%)0.3%
Missing27
Missing (%)3.4%
Memory size6.3 KiB
Yes
666 
No
101 
(Missing)
 
27
ValueCountFrequency (%) 
Yes66683.9%
 
No10112.7%
 
(Missing)273.4%
 
2020-12-12T18:42:11.738930image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct4
Distinct (%)0.5%
Missing34
Missing (%)4.3%
Memory size6.3 KiB
Greater than 5 years
681 
Between 3 to 5 years
 
49
Between 1 to 2 years
 
18
Less than 1 year
 
12
ValueCountFrequency (%) 
Greater than 5 years68185.8%
 
Between 3 to 5 years496.2%
 
Between 1 to 2 years182.3%
 
Less than 1 year121.5%
 
(Missing)344.3%
 
2020-12-12T18:42:11.790975image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:11.838516image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:11.900569image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length20
Median length20
Mean length19.2115869
Min length3

Overview of Unicode Properties

Unique unicode characters18
Unique unicode categories4 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
234715.4%
 
e233515.3%
 
a216814.2%
 
r212213.9%
 
t15089.9%
 
n8285.4%
 
s7725.1%
 
y7605.0%
 
57304.8%
 
h6934.5%
 
G6814.5%
 
B670.4%
 
w670.4%
 
o670.4%
 
3490.3%
 
1300.2%
 
2180.1%
 
L120.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1132074.2%
 
Space Separator234715.4%
 
Decimal Number8275.4%
 
Uppercase Letter7605.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
G68189.6%
 
B678.8%
 
L121.6%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e233520.6%
 
a216819.2%
 
r212218.7%
 
t150813.3%
 
n8287.3%
 
s7726.8%
 
y7606.7%
 
h6936.1%
 
w670.6%
 
o670.6%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
2347100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
573088.3%
 
3495.9%
 
1303.6%
 
2182.2%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1208079.2%
 
Common317420.8%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e233519.3%
 
a216817.9%
 
r212217.6%
 
t150812.5%
 
n8286.9%
 
s7726.4%
 
y7606.3%
 
h6935.7%
 
G6815.6%
 
B670.6%
 
w670.6%
 
o670.6%
 
L120.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
234773.9%
 
573023.0%
 
3491.5%
 
1300.9%
 
2180.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII15254100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
234715.4%
 
e233515.3%
 
a216814.2%
 
r212213.9%
 
t15089.9%
 
n8285.4%
 
s7725.1%
 
y7605.0%
 
57304.8%
 
h6934.5%
 
G6814.5%
 
B670.4%
 
w670.4%
 
o670.4%
 
3490.3%
 
1300.2%
 
2180.1%
 
L120.1%
 
Distinct2
Distinct (%)0.3%
Missing27
Missing (%)3.4%
Memory size6.3 KiB
No
664 
Yes
103 
(Missing)
 
27
ValueCountFrequency (%) 
No66483.6%
 
Yes10313.0%
 
(Missing)273.4%
 
2020-12-12T18:42:11.950112image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct7
Distinct (%)0.9%
Missing27
Missing (%)3.4%
Memory size6.3 KiB
English
737 
Other (Specify)
 
13
French
 
10
Spanish
 
3
Cantonese
 
2
Other values (2)
 
2
ValueCountFrequency (%) 
English73792.8%
 
Other (Specify)131.6%
 
French101.3%
 
Spanish30.4%
 
Cantonese20.3%
 
Ukrainian10.1%
 
Panjabi (Punjabi)10.1%
 
(Missing)273.4%
 
2020-12-12T18:42:12.002157image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)0.3%
2020-12-12T18:42:12.051199image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:12.123261image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length17
Median length7
Mean length7.002518892
Min length3

Overview of Unicode Properties

Unique unicode characters29
Unique unicode categories5 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
n81214.6%
 
h76313.7%
 
i75713.6%
 
s74213.3%
 
E73713.3%
 
g73713.3%
 
l73713.3%
 
e400.7%
 
a370.7%
 
r240.4%
 
c230.4%
 
S160.3%
 
p160.3%
 
t150.3%
 
140.3%
 
(140.3%
 
)140.3%
 
O130.2%
 
f130.2%
 
y130.2%
 
F100.2%
 
C2< 0.1%
 
o2< 0.1%
 
P2< 0.1%
 
j2< 0.1%
 
Other values (4)50.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter473785.2%
 
Uppercase Letter78114.0%
 
Space Separator140.3%
 
Open Punctuation140.3%
 
Close Punctuation140.3%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
E73794.4%
 
S162.0%
 
O131.7%
 
F101.3%
 
C20.3%
 
P20.3%
 
U10.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n81217.1%
 
h76316.1%
 
i75716.0%
 
s74215.7%
 
g73715.6%
 
l73715.6%
 
e400.8%
 
a370.8%
 
r240.5%
 
c230.5%
 
p160.3%
 
t150.3%
 
f130.3%
 
y130.3%
 
o2< 0.1%
 
j2< 0.1%
 
b2< 0.1%
 
k1< 0.1%
 
u1< 0.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
14100.0%
 

Most frequent Open Punctuation characters

ValueCountFrequency (%) 
(14100.0%
 

Most frequent Close Punctuation characters

ValueCountFrequency (%) 
)14100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin551899.2%
 
Common420.8%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n81214.7%
 
h76313.8%
 
i75713.7%
 
s74213.4%
 
E73713.4%
 
g73713.4%
 
l73713.4%
 
e400.7%
 
a370.7%
 
r240.4%
 
c230.4%
 
S160.3%
 
p160.3%
 
t150.3%
 
O130.2%
 
f130.2%
 
y130.2%
 
F100.2%
 
C2< 0.1%
 
o2< 0.1%
 
P2< 0.1%
 
j2< 0.1%
 
b2< 0.1%
 
U1< 0.1%
 
k1< 0.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
1433.3%
 
(1433.3%
 
)1433.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII5560100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
n81214.6%
 
h76313.7%
 
i75713.6%
 
s74213.3%
 
E73713.3%
 
g73713.3%
 
l73713.3%
 
e400.7%
 
a370.7%
 
r240.4%
 
c230.4%
 
S160.3%
 
p160.3%
 
t150.3%
 
140.3%
 
(140.3%
 
)140.3%
 
O130.2%
 
f130.2%
 
y130.2%
 
F100.2%
 
C2< 0.1%
 
o2< 0.1%
 
P2< 0.1%
 
j2< 0.1%
 
Other values (4)50.1%
 
Distinct9
Distinct (%)1.2%
Missing27
Missing (%)3.4%
Memory size6.3 KiB
Employed full-time (30+ hours a week)
474 
Retired
109 
Employed part-time (0-30 hours a week)
68 
Other (Specify)
 
36
Post-secondary student
 
31
Other values (4)
49 
ValueCountFrequency (%) 
Employed full-time (30+ hours a week)47459.7%
 
Retired10913.7%
 
Employed part-time (0-30 hours a week)688.6%
 
Other (Specify)364.5%
 
Post-secondary student313.9%
 
Homemaker222.8%
 
Unemployed141.8%
 
Permanently unable to Work91.1%
 
High School Student40.5%
 
(Missing)273.4%
 
2020-12-12T18:42:12.193822image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:12.240862image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:12.325935image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length38
Median length37
Mean length28.76070529
Min length3

Overview of Unicode Properties

Unique unicode characters36
Unique unicode categories8 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
281212.3%
 
e262311.5%
 
l15266.7%
 
o12085.3%
 
m11515.0%
 
u10604.6%
 
t8743.8%
 
r8263.6%
 
d7313.2%
 
a7083.1%
 
i6913.0%
 
p6602.9%
 
-6412.8%
 
s6352.8%
 
y6322.8%
 
06102.7%
 
h5862.6%
 
(5782.5%
 
)5782.5%
 
k5732.5%
 
E5422.4%
 
35422.4%
 
w5422.4%
 
f5102.2%
 
+4742.1%
 
Other values (11)5232.3%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1578169.1%
 
Space Separator281212.3%
 
Decimal Number11525.0%
 
Uppercase Letter8203.6%
 
Dash Punctuation6412.8%
 
Open Punctuation5782.5%
 
Close Punctuation5782.5%
 
Math Symbol4742.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
E54266.1%
 
R10913.3%
 
S445.4%
 
P404.9%
 
O364.4%
 
H263.2%
 
U141.7%
 
W91.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e262316.6%
 
l15269.7%
 
o12087.7%
 
m11517.3%
 
u10606.7%
 
t8745.5%
 
r8265.2%
 
d7314.6%
 
a7084.5%
 
i6914.4%
 
p6604.2%
 
s6354.0%
 
y6324.0%
 
h5863.7%
 
k5733.6%
 
w5423.4%
 
f5103.2%
 
n1611.0%
 
c710.4%
 
b90.1%
 
g4< 0.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
2812100.0%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-641100.0%
 

Most frequent Open Punctuation characters

ValueCountFrequency (%) 
(578100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
061053.0%
 
354247.0%
 

Most frequent Math Symbol characters

ValueCountFrequency (%) 
+474100.0%
 

Most frequent Close Punctuation characters

ValueCountFrequency (%) 
)578100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1660172.7%
 
Common623527.3%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e262315.8%
 
l15269.2%
 
o12087.3%
 
m11516.9%
 
u10606.4%
 
t8745.3%
 
r8265.0%
 
d7314.4%
 
a7084.3%
 
i6914.2%
 
p6604.0%
 
s6353.8%
 
y6323.8%
 
h5863.5%
 
k5733.5%
 
E5423.3%
 
w5423.3%
 
f5103.1%
 
n1611.0%
 
R1090.7%
 
c710.4%
 
S440.3%
 
P400.2%
 
O360.2%
 
H260.2%
 
Other values (4)360.2%
 

Most frequent Common characters

ValueCountFrequency (%) 
281245.1%
 
-64110.3%
 
06109.8%
 
(5789.3%
 
)5789.3%
 
35428.7%
 
+4747.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII22836100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
281212.3%
 
e262311.5%
 
l15266.7%
 
o12085.3%
 
m11515.0%
 
u10604.6%
 
t8743.8%
 
r8263.6%
 
d7313.2%
 
a7083.1%
 
i6913.0%
 
p6602.9%
 
-6412.8%
 
s6352.8%
 
y6322.8%
 
06102.7%
 
h5862.6%
 
(5782.5%
 
)5782.5%
 
k5732.5%
 
E5422.4%
 
35422.4%
 
w5422.4%
 
f5102.2%
 
+4742.1%
 
Other values (11)5232.3%
 
Distinct2
Distinct (%)0.3%
Missing27
Missing (%)3.4%
Memory size6.3 KiB
Yes
562 
No
205 
(Missing)
 
27
ValueCountFrequency (%) 
Yes56270.8%
 
No20525.8%
 
(Missing)273.4%
 
2020-12-12T18:42:12.377981image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Distinct6
Distinct (%)0.8%
Missing27
Missing (%)3.4%
Memory size6.3 KiB
Car/truck/Van as DRIVER
495 
Public Transit
136 
Walk
54 
Bicycle
 
37
Car/truck/van as PASSENGER
 
28
ValueCountFrequency (%) 
Car/truck/Van as DRIVER49562.3%
 
Public Transit13617.1%
 
Walk546.8%
 
Bicycle374.7%
 
Car/truck/van as PASSENGER283.5%
 
Other (Specify)172.1%
 
(Missing)273.4%
 
2020-12-12T18:42:12.429524image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:12.478066image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:12.544624image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length26
Median length23
Mean length18.67506297
Min length3

Overview of Unicode Properties

Unique unicode characters36
Unique unicode categories6 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
a178612.0%
 
r11998.1%
 
11998.1%
 
/10467.1%
 
R10186.9%
 
V9906.7%
 
c7505.1%
 
n7134.8%
 
t6764.6%
 
u6594.4%
 
s6594.4%
 
k5773.9%
 
E5513.7%
 
C5233.5%
 
D4953.3%
 
I4953.3%
 
i3262.2%
 
l2271.5%
 
P1641.1%
 
b1360.9%
 
T1360.9%
 
S730.5%
 
e710.5%
 
W540.4%
 
y540.4%
 
Other values (11)2511.7%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter791253.4%
 
Uppercase Letter463731.3%
 
Space Separator11998.1%
 
Other Punctuation10467.1%
 
Open Punctuation170.1%
 
Close Punctuation170.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
R101822.0%
 
V99021.4%
 
E55111.9%
 
C52311.3%
 
D49510.7%
 
I49510.7%
 
P1643.5%
 
T1362.9%
 
S731.6%
 
W541.2%
 
B370.8%
 
A280.6%
 
N280.6%
 
G280.6%
 
O170.4%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
a178622.6%
 
r119915.2%
 
c7509.5%
 
n7139.0%
 
t6768.5%
 
u6598.3%
 
s6598.3%
 
k5777.3%
 
i3264.1%
 
l2272.9%
 
b1361.7%
 
e710.9%
 
y540.7%
 
v280.4%
 
h170.2%
 
p170.2%
 
f170.2%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
/1046100.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1199100.0%
 

Most frequent Open Punctuation characters

ValueCountFrequency (%) 
(17100.0%
 

Most frequent Close Punctuation characters

ValueCountFrequency (%) 
)17100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1254984.6%
 
Common227915.4%
 

Most frequent Latin characters

ValueCountFrequency (%) 
a178614.2%
 
r11999.6%
 
R10188.1%
 
V9907.9%
 
c7506.0%
 
n7135.7%
 
t6765.4%
 
u6595.3%
 
s6595.3%
 
k5774.6%
 
E5514.4%
 
C5234.2%
 
D4953.9%
 
I4953.9%
 
i3262.6%
 
l2271.8%
 
P1641.3%
 
b1361.1%
 
T1361.1%
 
S730.6%
 
e710.6%
 
W540.4%
 
y540.4%
 
B370.3%
 
v280.2%
 
Other values (7)1521.2%
 

Most frequent Common characters

ValueCountFrequency (%) 
119952.6%
 
/104645.9%
 
(170.7%
 
)170.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII14828100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
a178612.0%
 
r11998.1%
 
11998.1%
 
/10467.1%
 
R10186.9%
 
V9906.7%
 
c7505.1%
 
n7134.8%
 
t6764.6%
 
u6594.4%
 
s6594.4%
 
k5773.9%
 
E5513.7%
 
C5233.5%
 
D4953.3%
 
I4953.3%
 
i3262.2%
 
l2271.5%
 
P1641.1%
 
b1360.9%
 
T1360.9%
 
S730.5%
 
e710.5%
 
W540.4%
 
y540.4%
 
Other values (11)2511.7%
 
Distinct7
Distinct (%)0.9%
Missing27
Missing (%)3.4%
Memory size6.3 KiB
Public Transit
167 
Walk
160 
Car/truck/Van as DRIVER
151 
Car/truck/van as PASSENGER
149 
Bicycle
87 
Other values (2)
53 
ValueCountFrequency (%) 
Public Transit16721.0%
 
Walk16020.2%
 
Car/truck/Van as DRIVER15119.0%
 
Car/truck/van as PASSENGER14918.8%
 
Bicycle8711.0%
 
Only have one mode of transportation425.3%
 
Other (Specify)111.4%
 
(Missing)273.4%
 
2020-12-12T18:42:12.616686image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:12.668730image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:12.742794image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length36
Median length14
Mean length15.98488665
Min length3

Overview of Unicode Properties

Unique unicode characters39
Unique unicode categories6 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
a138010.9%
 
9887.8%
 
r8626.8%
 
n6895.4%
 
c6525.1%
 
t6044.8%
 
/6004.7%
 
s5094.0%
 
i4743.7%
 
u4673.7%
 
k4603.6%
 
l4563.6%
 
R4513.6%
 
E4493.5%
 
P3162.5%
 
S3092.4%
 
V3022.4%
 
C3002.4%
 
e2351.9%
 
o2101.7%
 
v1911.5%
 
b1671.3%
 
T1671.3%
 
W1601.3%
 
D1511.2%
 
Other values (14)11439.0%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter773961.0%
 
Uppercase Letter334326.3%
 
Space Separator9887.8%
 
Other Punctuation6004.7%
 
Open Punctuation110.1%
 
Close Punctuation110.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
R45113.5%
 
E44913.4%
 
P3169.5%
 
S3099.2%
 
V3029.0%
 
C3009.0%
 
T1675.0%
 
W1604.8%
 
D1514.5%
 
I1514.5%
 
A1494.5%
 
N1494.5%
 
G1494.5%
 
B872.6%
 
O531.6%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
a138017.8%
 
r86211.1%
 
n6898.9%
 
c6528.4%
 
t6047.8%
 
s5096.6%
 
i4746.1%
 
u4676.0%
 
k4605.9%
 
l4565.9%
 
e2353.0%
 
o2102.7%
 
v1912.5%
 
b1672.2%
 
y1401.8%
 
h530.7%
 
f530.7%
 
p530.7%
 
m420.5%
 
d420.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
/600100.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
988100.0%
 

Most frequent Open Punctuation characters

ValueCountFrequency (%) 
(11100.0%
 

Most frequent Close Punctuation characters

ValueCountFrequency (%) 
)11100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1108287.3%
 
Common161012.7%
 

Most frequent Latin characters

ValueCountFrequency (%) 
a138012.5%
 
r8627.8%
 
n6896.2%
 
c6525.9%
 
t6045.5%
 
s5094.6%
 
i4744.3%
 
u4674.2%
 
k4604.2%
 
l4564.1%
 
R4514.1%
 
E4494.1%
 
P3162.9%
 
S3092.8%
 
V3022.7%
 
C3002.7%
 
e2352.1%
 
o2101.9%
 
v1911.7%
 
b1671.5%
 
T1671.5%
 
W1601.4%
 
D1511.4%
 
I1511.4%
 
A1491.3%
 
Other values (10)8217.4%
 

Most frequent Common characters

ValueCountFrequency (%) 
98861.4%
 
/60037.3%
 
(110.7%
 
)110.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII12692100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
a138010.9%
 
9887.8%
 
r8626.8%
 
n6895.4%
 
c6525.1%
 
t6044.8%
 
/6004.7%
 
s5094.0%
 
i4743.7%
 
u4673.7%
 
k4603.6%
 
l4563.6%
 
R4513.6%
 
E4493.5%
 
P3162.5%
 
S3092.4%
 
V3022.4%
 
C3002.4%
 
e2351.9%
 
o2101.7%
 
v1911.5%
 
b1671.3%
 
T1671.3%
 
W1601.3%
 
D1511.2%
 
Other values (14)11439.0%
 
Distinct10
Distinct (%)1.3%
Missing27
Missing (%)3.4%
Memory size6.3 KiB
$100,000 to $149,000
156 
$150,000 and over
149 
$80,000 to $99,999
106 
Prefer not to answer
100 
$60,000 to $79,999
95 
Other values (5)
161 
ValueCountFrequency (%) 
$100,000 to $149,00015619.6%
 
$150,000 and over14918.8%
 
$80,000 to $99,99910613.4%
 
Prefer not to answer10012.6%
 
$60,000 to $79,9999512.0%
 
$50,000 to $59,999435.4%
 
$40,000 to $49,999415.2%
 
$30,000 to $39,999273.4%
 
$20,000 to $29,999263.3%
 
Under $20,000243.0%
 
(Missing)273.4%
 
2020-12-12T18:42:12.818359image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:12.872906image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:13.139636image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length20
Median length18
Mean length17.79596977
Min length3

Overview of Unicode Properties

Unique unicode characters26
Unique unicode categories6 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
0329223.3%
 
9161411.4%
 
161011.4%
 
$11618.2%
 
,11618.2%
 
o8436.0%
 
t6944.9%
 
r4733.3%
 
e4733.3%
 
14613.3%
 
n4273.0%
 
a2762.0%
 
42381.7%
 
52351.7%
 
d1731.2%
 
v1491.1%
 
81060.8%
 
P1000.7%
 
f1000.7%
 
s1000.7%
 
w1000.7%
 
6950.7%
 
7950.7%
 
2760.5%
 
3540.4%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number626644.3%
 
Lowercase Letter380826.9%
 
Space Separator161011.4%
 
Currency Symbol11618.2%
 
Other Punctuation11618.2%
 
Uppercase Letter1240.9%
 

Most frequent Currency Symbol characters

ValueCountFrequency (%) 
$1161100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
0329252.5%
 
9161425.8%
 
14617.4%
 
42383.8%
 
52353.8%
 
81061.7%
 
6951.5%
 
7951.5%
 
2761.2%
 
3540.9%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
,1161100.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1610100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
o84322.1%
 
t69418.2%
 
r47312.4%
 
e47312.4%
 
n42711.2%
 
a2767.2%
 
d1734.5%
 
v1493.9%
 
f1002.6%
 
s1002.6%
 
w1002.6%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
P10080.6%
 
U2419.4%
 

Most occurring scripts

ValueCountFrequency (%) 
Common1019872.2%
 
Latin393227.8%
 

Most frequent Common characters

ValueCountFrequency (%) 
0329232.3%
 
9161415.8%
 
161015.8%
 
$116111.4%
 
,116111.4%
 
14614.5%
 
42382.3%
 
52352.3%
 
81061.0%
 
6950.9%
 
7950.9%
 
2760.7%
 
3540.5%
 

Most frequent Latin characters

ValueCountFrequency (%) 
o84321.4%
 
t69417.7%
 
r47312.0%
 
e47312.0%
 
n42710.9%
 
a2767.0%
 
d1734.4%
 
v1493.8%
 
P1002.5%
 
f1002.5%
 
s1002.5%
 
w1002.5%
 
U240.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII14130100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
0329223.3%
 
9161411.4%
 
161011.4%
 
$11618.2%
 
,11618.2%
 
o8436.0%
 
t6944.9%
 
r4733.3%
 
e4733.3%
 
14613.3%
 
n4273.0%
 
a2762.0%
 
42381.7%
 
52351.7%
 
d1731.2%
 
v1491.1%
 
81060.8%
 
P1000.7%
 
f1000.7%
 
s1000.7%
 
w1000.7%
 
6950.7%
 
7950.7%
 
2760.5%
 
3540.4%
 
Distinct6
Distinct (%)0.8%
Missing27
Missing (%)3.4%
Memory size6.3 KiB
University undergraduate degree
292 
College / technical school graduate
176 
Post-graduate degree
171 
High school graduate
95 
Professional school graduate (e.g. medicine, dentistry, veterinary medicine, optometry)
 
28
ValueCountFrequency (%) 
University undergraduate degree29236.8%
 
College / technical school graduate17622.2%
 
Post-graduate degree17121.5%
 
High school graduate9512.0%
 
Professional school graduate (e.g. medicine, dentistry, veterinary medicine, optometry)283.5%
 
Elementary/grade school graduate50.6%
 
(Missing)273.4%
 
2020-12-12T18:42:13.216702image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:13.265744image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:13.339308image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length87
Median length31
Mean length29.23047859
Min length3

Overview of Unicode Properties

Unique unicode characters31
Unique unicode categories7 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e356315.4%
 
r19648.5%
 
18838.1%
 
a18037.8%
 
d16116.9%
 
t15516.7%
 
g15346.6%
 
o10674.6%
 
u10594.6%
 
i10514.5%
 
n9594.1%
 
l8653.7%
 
s8513.7%
 
c7123.1%
 
h5752.5%
 
y3811.6%
 
v3201.4%
 
U2921.3%
 
P1990.9%
 
/1810.8%
 
C1760.8%
 
-1710.7%
 
H950.4%
 
m890.4%
 
,840.4%
 
Other values (6)1730.7%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter2001186.2%
 
Space Separator18838.1%
 
Uppercase Letter7673.3%
 
Other Punctuation3211.4%
 
Dash Punctuation1710.7%
 
Open Punctuation280.1%
 
Close Punctuation280.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
U29238.1%
 
P19925.9%
 
C17622.9%
 
H9512.4%
 
E50.7%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e356317.8%
 
r19649.8%
 
a18039.0%
 
d16118.1%
 
t15517.8%
 
g15347.7%
 
o10675.3%
 
u10595.3%
 
i10515.3%
 
n9594.8%
 
l8654.3%
 
s8514.3%
 
c7123.6%
 
h5752.9%
 
y3811.9%
 
v3201.6%
 
m890.4%
 
f280.1%
 
p280.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1883100.0%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-171100.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
/18156.4%
 
,8426.2%
 
.5617.4%
 

Most frequent Open Punctuation characters

ValueCountFrequency (%) 
(28100.0%
 

Most frequent Close Punctuation characters

ValueCountFrequency (%) 
)28100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin2077889.5%
 
Common243110.5%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e356317.1%
 
r19649.5%
 
a18038.7%
 
d16117.8%
 
t15517.5%
 
g15347.4%
 
o10675.1%
 
u10595.1%
 
i10515.1%
 
n9594.6%
 
l8654.2%
 
s8514.1%
 
c7123.4%
 
h5752.8%
 
y3811.8%
 
v3201.5%
 
U2921.4%
 
P1991.0%
 
C1760.8%
 
H950.5%
 
m890.4%
 
f280.1%
 
p280.1%
 
E5< 0.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
188377.5%
 
/1817.4%
 
-1717.0%
 
,843.5%
 
.562.3%
 
(281.2%
 
)281.2%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII23209100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e356315.4%
 
r19648.5%
 
18838.1%
 
a18037.8%
 
d16116.9%
 
t15516.7%
 
g15346.6%
 
o10674.6%
 
u10594.6%
 
i10514.5%
 
n9594.1%
 
l8653.7%
 
s8513.7%
 
c7123.1%
 
h5752.5%
 
y3811.6%
 
v3201.4%
 
U2921.3%
 
P1990.9%
 
/1810.8%
 
C1760.8%
 
-1710.7%
 
H950.4%
 
m890.4%
 
,840.4%
 
Other values (6)1730.7%
 
Distinct3
Distinct (%)0.5%
Missing207
Missing (%)26.1%
Memory size6.3 KiB
No
476 
Yes
103 
Prefer not to say
 
8
ValueCountFrequency (%) 
No47659.9%
 
Yes10313.0%
 
Prefer not to say81.0%
 
(Missing)20726.1%
 
2020-12-12T18:42:13.406365image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:13.450904image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:42:13.507452image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length17
Median length2
Mean length2.541561713
Min length2

Overview of Unicode Properties

Unique unicode characters13
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
o49224.4%
 
N47623.6%
 
n42220.9%
 
a21510.7%
 
e1195.9%
 
s1115.5%
 
Y1035.1%
 
241.2%
 
r160.8%
 
t160.8%
 
P80.4%
 
f80.4%
 
y80.4%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter140769.7%
 
Uppercase Letter58729.1%
 
Space Separator241.2%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
N47681.1%
 
Y10317.5%
 
P81.4%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
o49235.0%
 
n42230.0%
 
a21515.3%
 
e1198.5%
 
s1117.9%
 
r161.1%
 
t161.1%
 
f80.6%
 
y80.6%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
24100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin199498.8%
 
Common241.2%
 

Most frequent Latin characters

ValueCountFrequency (%) 
o49224.7%
 
N47623.9%
 
n42221.2%
 
a21510.8%
 
e1196.0%
 
s1115.6%
 
Y1035.2%
 
r160.8%
 
t160.8%
 
P80.4%
 
f80.4%
 
y80.4%
 

Most frequent Common characters

ValueCountFrequency (%) 
24100.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2018100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
o49224.4%
 
N47623.6%
 
n42220.9%
 
a21510.7%
 
e1195.9%
 
s1115.5%
 
Y1035.1%
 
241.2%
 
r160.8%
 
t160.8%
 
P80.4%
 
f80.4%
 
y80.4%
 
Distinct36
Distinct (%)4.7%
Missing34
Missing (%)4.3%
Memory size6.3 KiB
T6E
60 
T5K
55 
T6C
51 
T6J
 
48
T6H
 
46
Other values (31)
500 
ValueCountFrequency (%) 
T6E607.6%
 
T5K556.9%
 
T6C516.4%
 
T6J486.0%
 
T6H465.8%
 
T6R394.9%
 
T6L324.0%
 
T5N303.8%
 
T5Y283.5%
 
T5T283.5%
 
T6A263.3%
 
T6G253.1%
 
T5H243.0%
 
T6W202.5%
 
T5X202.5%
 
T5M192.4%
 
T5R182.3%
 
T6X172.1%
 
T6M172.1%
 
T5L162.0%
 
T5E162.0%
 
T5G162.0%
 
T6K151.9%
 
T5W151.9%
 
T5B131.6%
 
Other values (11)668.3%
 
(Missing)344.3%
 
2020-12-12T18:42:13.590023image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)0.3%
2020-12-12T18:42:13.665088image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length3
Min length3

Overview of Unicode Properties

Unique unicode characters25
Unique unicode categories3 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
T79833.5%
 
642217.7%
 
533714.1%
 
E763.2%
 
H702.9%
 
K702.9%
 
n682.9%
 
J602.5%
 
R572.4%
 
C532.2%
 
L482.0%
 
G411.7%
 
A391.6%
 
X371.6%
 
M361.5%
 
W351.5%
 
a341.4%
 
N311.3%
 
Y281.2%
 
B220.9%
 
P90.4%
 
V60.3%
 
S20.1%
 
Z20.1%
 
81< 0.1%
 

Most occurring categories

ValueCountFrequency (%) 
Uppercase Letter152063.8%
 
Decimal Number76031.9%
 
Lowercase Letter1024.3%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
T79852.5%
 
E765.0%
 
H704.6%
 
K704.6%
 
J603.9%
 
R573.8%
 
C533.5%
 
L483.2%
 
G412.7%
 
A392.6%
 
X372.4%
 
M362.4%
 
W352.3%
 
N312.0%
 
Y281.8%
 
B221.4%
 
P90.6%
 
V60.4%
 
S20.1%
 
Z20.1%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
642255.5%
 
533744.3%
 
810.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n6866.7%
 
a3433.3%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin162268.1%
 
Common76031.9%
 

Most frequent Latin characters

ValueCountFrequency (%) 
T79849.2%
 
E764.7%
 
H704.3%
 
K704.3%
 
n684.2%
 
J603.7%
 
R573.5%
 
C533.3%
 
L483.0%
 
G412.5%
 
A392.4%
 
X372.3%
 
M362.2%
 
W352.2%
 
a342.1%
 
N311.9%
 
Y281.7%
 
B221.4%
 
P90.6%
 
V60.4%
 
S20.1%
 
Z20.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
642255.5%
 
533744.3%
 
810.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII2382100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
T79833.5%
 
642217.7%
 
533714.1%
 
E763.2%
 
H702.9%
 
K702.9%
 
n682.9%
 
J602.5%
 
R572.4%
 
C532.2%
 
L482.0%
 
G411.7%
 
A391.6%
 
X371.6%
 
M361.5%
 
W351.5%
 
a341.4%
 
N311.3%
 
Y281.2%
 
B220.9%
 
P90.4%
 
V60.3%
 
S20.1%
 
Z20.1%
 
81< 0.1%
 
Distinct15
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
"30-34"
104 
"35-39"
99 
"50-54"
76 
"25-29"
76 
"55-59"
74 
Other values (10)
365 
ValueCountFrequency (%) 
"30-34"10413.1%
 
"35-39"9912.5%
 
"50-54"769.6%
 
"25-29"769.6%
 
"55-59"749.3%
 
"40-44"718.9%
 
"60-64"708.8%
 
"45-49"688.6%
 
"65-69"526.5%
 
"18-24"303.8%
 
"70-74"293.7%
 
Did not answer273.4%
 
"75-79"111.4%
 
80 and over40.5%
 
"15-17"30.4%
 
2020-12-12T18:42:13.739152image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-12-12T18:42:13.814716image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length14
Median length7
Mean length7.258186398
Min length7

Overview of Unicode Properties

Unique unicode characters25
Unique unicode categories6 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
"152626.5%
 
-76313.2%
 
568311.9%
 
465811.4%
 
34067.0%
 
93806.6%
 
03546.1%
 
62444.2%
 
21823.2%
 
7831.4%
 
621.1%
 
n581.0%
 
1360.6%
 
8340.6%
 
d310.5%
 
o310.5%
 
a310.5%
 
e310.5%
 
r310.5%
 
D270.5%
 
i270.5%
 
t270.5%
 
s270.5%
 
w270.5%
 
v40.1%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number306053.1%
 
Other Punctuation152626.5%
 
Dash Punctuation76313.2%
 
Lowercase Letter3255.6%
 
Space Separator621.1%
 
Uppercase Letter270.5%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
"1526100.0%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
568322.3%
 
465821.5%
 
340613.3%
 
938012.4%
 
035411.6%
 
62448.0%
 
21825.9%
 
7832.7%
 
1361.2%
 
8341.1%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-763100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
D27100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
n5817.8%
 
d319.5%
 
o319.5%
 
a319.5%
 
e319.5%
 
r319.5%
 
i278.3%
 
t278.3%
 
s278.3%
 
w278.3%
 
v41.2%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
62100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Common541193.9%
 
Latin3526.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
"152628.2%
 
-76314.1%
 
568312.6%
 
465812.2%
 
34067.5%
 
93807.0%
 
03546.5%
 
62444.5%
 
21823.4%
 
7831.5%
 
621.1%
 
1360.7%
 
8340.6%
 

Most frequent Latin characters

ValueCountFrequency (%) 
n5816.5%
 
d318.8%
 
o318.8%
 
a318.8%
 
e318.8%
 
r318.8%
 
D277.7%
 
i277.7%
 
t277.7%
 
s277.7%
 
w277.7%
 
v41.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII5763100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
"152626.5%
 
-76313.2%
 
568311.9%
 
465811.4%
 
34067.0%
 
93806.6%
 
03546.1%
 
62444.2%
 
21823.2%
 
7831.4%
 
621.1%
 
n581.0%
 
1360.6%
 
8340.6%
 
d310.5%
 
o310.5%
 
a310.5%
 
e310.5%
 
r310.5%
 
D270.5%
 
i270.5%
 
t270.5%
 
s270.5%
 
w270.5%
 
v40.1%
 

Correlations

2020-12-12T18:42:13.942326image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-12-12T18:42:15.403584image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-12-12T18:42:16.866343image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-12-12T18:42:18.405167image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-12-12T18:41:50.382051image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:41:56.446771image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:41:58.970443image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/
2020-12-12T18:41:59.734100image/svg+xmlMatplotlib v3.3.3, https://matplotlib.org/

Sample

First rows

ResponseDateCompletionDateAnimal_Mind_Provider of education for proper animal care and ownershipAnimal_Mind_Long-term care for animals in needAnimal_Mind_Essentially the same as the Edmonton Humane SocietyAnimal_Mind_Supporter of local pet rescuesAnimal_Mind_Jail cell for animals (“City Pound”)Animal_Mind_Essential service for animal controlAnimal_Mind_Shelter and care of injured wildlifeAnimal_Mind_Connection between lost pets and ownersAnimal_Mind_Pet bylaw enforcementAnimal_Mind_Majority of animals are euthanizedAnimal_Mind_Money grab for the CityAnimal_Mind_Friendly and informative customer serviceAnimal_Mind_Pet adoption facilityAnimal_Mind_Nothing comes to mindAnimal_Agree_Ticketing is an effective way of enforcementAnimal_Agree_Animal Care and Control provides a useful service for dealing with stray and feral animalsAnimal_Agree_I value the work Animal Care and Control does for the City of EdmontonAnimal_Agree_I fully understand the role Animal Care and Control plays in the communityAnimal_Agree_Animal Care and Control is a good source for responsible pet ownership informationAnimal_Effective_Licensing your petAnimal_Effective_Dogs off leashAnimal_Effective_Roaming catsAnimal_Effective_They poop, you scoopAnimal_Effective_Barking dogsAnimal_Effective_Number of animals per homeAnimal_Effective_Dog bitesAnimal_Yes_No_Euthanize all unwanted animalsAnimal_Yes_No_Euthanize all feral animalsAnimal_Yes_No_Help to save animalsAnimal_Yes_No_Reunite pets with ownersAnimal_Yes_No_Transfer unclaimed animals to the Edmonton Humane SocietyAnimal_Bylaw_Licensing a dog is a positive bylawAnimal_Bylaw_Licensing a cat is a positive bylawAnimal_Bylaw_It is easy and convenient to license my petAnimal_Bylaw_Licensing a dog is a money grabAnimal_Bylaw_Licensing a cat is a money grabAnimal_Bylaw_Licence fees help provide care for injured stray animalsAnimal_Bylaw_Licence fees are used to financially assist local pet rescuesAnimal_Bylaw_Licences help reunite owners and petsAnimal_Bylaw_Licence fees help support public safety through enforcement servicesAnimal_Bylaw_Licence fees play a role in animal control bylaw enforcementAnimal_Bylaw_Unlicensed animals are immediately euthanizedAnimal_Bylaw_I believe in pet licensingAnimal_enforcement_Licensing your petAnimal_enforcement_Dogs off leashAnimal_enforcement_Roaming catsAnimal_enforcement_They poop, you scoopAnimal_enforcement_Barking dogsAnimal_enforcement_Number of animals per homeAnimal_enforcement_Dog bitesAnimal_enforcement_City is not successful at enforcing animal care and control bylawsAnimal_enforcement_I don't know enough about this topic to answerAnimal_InteractionAnimal_InteractionType_Visited the web siteAnimal_InteractionType_Licensed my pet onlineAnimal_InteractionType_Licensed my pet in personAnimal_InteractionType_Issued a bylaw complaintAnimal_InteractionType_Searched for my lost petAnimal_InteractionType_Reunited with a petAnimal_InteractionType_Dropped off an animal or played a role in having an animal picked upAnimal_InteractionType_Borrowed a humane animal trapAnimal_InteractionType_Received a visit, warning or ticket from enforcementAnimal_InteractionType_WebCopy1_Licensed my pet onlineAnimal_InteractionType_WebCopy2_Licensed my pet in personAnimal_InteractionType_WebCopy3_Issued a bylaw complaintAnimal_InteractionType_WebCopy10_Searched for my lost petAnimal_InteractionType_WebCopy4_Reunited with a petAnimal_InteractionType_WebCopy5_Dropped off an animal or played a role in having an animal picked upAnimal_InteractionType_WebCopy6_Borrowing a humane animal trapAnimal_InteractionType_WebCopy7_Participated in an education/awareness eventAnimal_InteractionType_WebCopy8_Received a visit, warning or ticketAnimal_InteractionType_WebCopy9_Received notification in the mailAnimal_InteractionType_WebCopy11_OtherAnimal_Reward_Discounts, coupons from sponsorsAnimal_Reward_Notification of near-by sponsor dealsAnimal_Reward_Collection of AirMilesAnimal_Reward_Licence Renewal RemindersAnimal_Reward_Off leash park locatorAnimal_Reward_Lost pet notificationsAnimal_Reward_Discounts for pet friendly organizations in Edmonton and surrounding areasAnimal_Reward_PedometerAnimal_Reward_Use of the app, assists local pet rescues financiallyAnimal_Reward_Tracking system for pet's medical information, ID numbers, etc.Animal_Reward_I do not license my petAnimal_Reward_I don't own a petAnimal_Reward_Other (please specify)Animal_LoyaltyProgram_A value added rewards program attached to my pet licence would encourage me to license my petAnimal_LoyaltyProgram_Even with an already licensed pet, a rewards program is valuable to meAnimal_Info_Opportunity to ask questions and receive answersAnimal_Info_Pet bylaw informationAnimal_Info_Behind-the-scenes information (inner workings of the facility, staff members, special animal profiles)Animal_Info_Success storiesAnimal_Info_Pictures of lost animalsAnimal_Info_Event and promotional informationAnimal_Info_Pet educational informationAnimal_Info_Videos featuring animalsAnimal_Info_A tool for complaint managementAnimal_Info_I would not visit this pageAnimal_Info_I do not use FacebookAnimal_Info_Other (specify)OSTypeDeviceTypeBrowserTypeQ3_Own_Rent (Study: Profiling Questionnaire 2014)GENDER (Study: Profiling Questionnaire 2014)Q7_Children (Study: Profiling Questionnaire 2014)Q8_Born_Canada (Study: Profiling Questionnaire 2014)Q9a_Edmonton (Study: Profiling Questionnaire 2014)Q10_Own_Business (Study: Profiling Questionnaire 2014)Q11_Home_Language (Study: Profiling Questionnaire 2014)Q12_Employment_Status (Study: Profiling Questionnaire 2014)Q13_Volunteer (Study: Profiling Questionnaire 2014)Q14a_Primary_Transportation (Study: Profiling Questionnaire 2014)Q14b_Secondary_Transportation (Study: Profiling Questionnaire 2014)Q15_Household_Income (Study: Profiling Questionnaire 2014)Q16_Education (Study: Profiling Questionnaire 2014)Q17_City_Employee (Study: Profiling Questionnaire 2014)FSA (Study: Profiling Questionnaire 2014)Age_Rollup_Detailed (Study: Profiling Questionnaire 2014)
008 December 2015December 08 2015001100011000103 Neither agree nor disagree4 Somewhat agree4 Somewhat agree2 Somewhat disagreeI don't know4 Somewhat effectiveI don't knowI don't know2 Somewhat ineffective2 Somewhat ineffectiveI don't know4 Somewhat effectiveNoDon't knowYesYesYes5 Strongly agree2 Somewhat disagree4 Somewhat agree1 Strongly disagree4 Somewhat agree4 Somewhat agreeI don't know4 Somewhat agree4 Somewhat agree4 Somewhat agreeI don't know4 Somewhat agree100000100NoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN00000110010003 Neither agree nor disagree4 Somewhat agree001110111000WindowsDesktopGoogle ChromeOwnFemaleNoYesGreater than 5 yearsNoEnglishEmployed full-time (30+ hours a week)YesCar/truck/Van as DRIVERWalk$80,000 to $99,999University undergraduate degreeYesT5E"50-54"
111 December 2015December 11 2015000001001100004 Somewhat agreeI don't knowI don't know1 Strongly disagreeI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowDon't knowDon't knowDon't knowDon't knowDon't know5 Strongly agree5 Strongly agreeI don't knowI don't knowI don't know5 Strongly agreeI don't know5 Strongly agreeI don't knowI don't knowI don't know5 Strongly agree000000001NoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0000000000010Don't know / NADon't know / NA000000000100WindowsDesktopGoogle ChromeOwnFemaleNoYesGreater than 5 yearsNoEnglishEmployed full-time (30+ hours a week)YesPublic TransitCar/truck/Van as DRIVERPrefer not to answerPost-graduate degreeYesT6E"30-34"
208 December 2015December 08 201500001000100000I don't know5 Strongly agree5 Strongly agree2 Somewhat disagreeI don't knowI don't knowI don't know1 Not at all effective2 Somewhat ineffectiveI don't knowI don't knowI don't knowDon't knowDon't knowYesYesDon't know4 Somewhat agree4 Somewhat agree2 Somewhat disagree3 Neither agree nor disagree3 Neither agree nor disagreeI don't knowI don't knowI don't knowI don't knowI don't knowI don't know3 Neither agree nor disagree000000001NoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN00000000001001 Strongly disagree1 Strongly disagree100010001000WindowsDesktopGoogle ChromeOwnMaleYesYesGreater than 5 yearsYesEnglishEmployed full-time (30+ hours a week)YesCar/truck/Van as DRIVERWalkPrefer not to answerHigh school graduateNoT6E"40-44"
308 December 2015December 08 2015000001011000104 Somewhat agree4 Somewhat agree4 Somewhat agree2 Somewhat disagreeI don't know2 Somewhat ineffective2 Somewhat ineffective2 Somewhat ineffective1 Not at all effective2 Somewhat ineffective2 Somewhat ineffective4 Somewhat effectiveNoDon't knowYesYesYes5 Strongly agree3 Neither agree nor disagree2 Somewhat disagree1 Strongly disagree4 Somewhat agree4 Somewhat agreeI don't know5 Strongly agreeI don't know5 Strongly agree1 Strongly disagree4 Somewhat agree000000100NoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN00000000000102 Somewhat disagree1 Strongly disagree000000000010WindowsDesktopFirefoxOwnMaleNoYesGreater than 5 yearsYesEnglishEmployed part-time (0-30 hours a week)NoCar/truck/Van as DRIVERWalk$100,000 to $149,000High school graduateNoT6H"60-64"
408 December 2015December 08 2015010001101000004 Somewhat agree5 Strongly agree5 Strongly agree3 Neither agree nor disagree4 Somewhat agree4 Somewhat effective4 Somewhat effective3 Neutral4 Somewhat effective3 Neutral3 Neutral4 Somewhat effectiveDon't knowDon't knowYesDon't knowDon't know4 Somewhat agree4 Somewhat agreeI don't know2 Somewhat disagree2 Somewhat disagreeI don't knowI don't know5 Strongly agree4 Somewhat agree4 Somewhat agreeI don't know4 Somewhat agree000000001NoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0000000000010Don't know / NADon't know / NA000000001000WindowsDesktopFirefoxOwnMaleNoYesGreater than 5 yearsNoEnglishRetiredYesCar/truck/Van as DRIVEROnly have one mode of transportationPrefer not to answerHigh school graduateNoT6M"70-74"
511 December 2015December 11 2015000000011000004 Somewhat agree4 Somewhat agree4 Somewhat agree1 Strongly disagreeI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowDon't knowDon't knowDon't knowYesDon't know5 Strongly agree5 Strongly agreeI don't know1 Strongly disagree1 Strongly disagreeI don't knowI don't knowI don't knowI don't knowI don't know1 Strongly disagree5 Strongly agree000000001Yes0.00.00.00.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2 Somewhat unsatisfied0000000000010Don't know / NADon't know / NA000000000100WindowsDesktopGoogle ChromeRentFemaleYesYesGreater than 5 yearsNoEnglishEmployed full-time (30+ hours a week)YesCar/truck/Van as DRIVERCar/truck/van as PASSENGER$60,000 to $79,999University undergraduate degreeYesT5W"30-34"
608 December 2015December 08 2015000011011000004 Somewhat agree4 Somewhat agree4 Somewhat agree3 Neither agree nor disagree2 Somewhat disagree5 Very effective2 Somewhat ineffectiveI don't know2 Somewhat ineffective4 Somewhat effectiveI don't know4 Somewhat effectiveYesNoNoYesYes4 Somewhat agree4 Somewhat agree4 Somewhat agree3 Neither agree nor disagree3 Neither agree nor disagree3 Neither agree nor disagreeI don't know5 Strongly agree3 Neither agree nor disagree3 Neither agree nor disagree2 Somewhat disagree5 Strongly agree100000100Yes0.01.00.00.00.00.00.00.00.04 Somewhat satisfiedNaNNaNNaNNaNNaNNaNNaNNaNNaN4 Somewhat satisfied00011100110004 Somewhat agree5 Strongly agree110110100000WindowsDesktopGoogle ChromeOwnFemaleNoYesGreater than 5 yearsNoEnglishEmployed full-time (30+ hours a week)YesCar/truck/Van as DRIVERPublic Transit$60,000 to $79,999College / technical school graduateNoT5H"35-39"
714 December 2015December 14 2015000011001000001 Strongly disagree5 Strongly agree4 Somewhat agree2 Somewhat disagreeI don't know2 Somewhat ineffective2 Somewhat ineffective2 Somewhat ineffective2 Somewhat ineffective1 Not at all effectiveI don't know5 Very effectiveDon't knowDon't knowDon't knowDon't knowYes2 Somewhat disagree2 Somewhat disagree2 Somewhat disagree4 Somewhat agree4 Somewhat agreeI don't know1 Strongly disagree4 Somewhat agreeI don't knowI don't knowI don't know2 Somewhat disagree000000100Yes0.00.00.00.00.00.01.00.00.0NaNNaNNaNNaNNaN4 Somewhat satisfiedNaNNaNNaNNaNNaN00110101000003 Neither agree nor disagreeDon't know / NA100100000000WindowsDesktopGoogle ChromeOwnFemaleYesYesGreater than 5 yearsNoEnglishEmployed part-time (0-30 hours a week)YesCar/truck/Van as DRIVERCar/truck/van as PASSENGER$80,000 to $99,999University undergraduate degreeNoT5Y"40-44"
809 December 2015December 09 2015000000000000014 Somewhat agree4 Somewhat agree4 Somewhat agree1 Strongly disagreeI don't know2 Somewhat ineffective1 Not at all effective2 Somewhat ineffective4 Somewhat effectiveI don't know4 Somewhat effective5 Very effectiveDon't knowDon't knowDon't knowYesDon't know4 Somewhat agree4 Somewhat agree5 Strongly agree4 Somewhat agree4 Somewhat agree3 Neither agree nor disagreeI don't know4 Somewhat agree2 Somewhat disagree3 Neither agree nor disagree1 Strongly disagree2 Somewhat disagree000101100NoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN00010010000002 Somewhat disagree2 Somewhat disagree000000000100WindowsDesktopGoogle ChromeRentFemaleNoYesGreater than 5 yearsNoEnglishEmployed full-time (30+ hours a week)YesWalkCar/truck/Van as DRIVER$50,000 to $59,999University undergraduate degreeNoT5K"30-34"
910 December 2015December 10 2015000010001110003 Neither agree nor disagree2 Somewhat disagree2 Somewhat disagree3 Neither agree nor disagree2 Somewhat disagree3 Neutral3 Neutral1 Not at all effective1 Not at all effective3 Neutral3 Neutral3 NeutralYesYesNoNoNo5 Strongly agree5 Strongly agree4 Somewhat agree2 Somewhat disagree2 Somewhat disagree1 Strongly disagree1 Strongly disagree5 Strongly agree1 Strongly disagree5 Strongly agreeI don't know5 Strongly agree100000000NoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN00011110100003 Neither agree nor disagree3 Neither agree nor disagree100010010000WindowsDesktopGoogle ChromeOwnMaleNoYesGreater than 5 yearsNoEnglishEmployed full-time (30+ hours a week)NoPublic TransitCar/truck/van as PASSENGER$40,000 to $49,999University undergraduate degreeNoT6V"35-39"

Last rows

ResponseDateCompletionDateAnimal_Mind_Provider of education for proper animal care and ownershipAnimal_Mind_Long-term care for animals in needAnimal_Mind_Essentially the same as the Edmonton Humane SocietyAnimal_Mind_Supporter of local pet rescuesAnimal_Mind_Jail cell for animals (“City Pound”)Animal_Mind_Essential service for animal controlAnimal_Mind_Shelter and care of injured wildlifeAnimal_Mind_Connection between lost pets and ownersAnimal_Mind_Pet bylaw enforcementAnimal_Mind_Majority of animals are euthanizedAnimal_Mind_Money grab for the CityAnimal_Mind_Friendly and informative customer serviceAnimal_Mind_Pet adoption facilityAnimal_Mind_Nothing comes to mindAnimal_Agree_Ticketing is an effective way of enforcementAnimal_Agree_Animal Care and Control provides a useful service for dealing with stray and feral animalsAnimal_Agree_I value the work Animal Care and Control does for the City of EdmontonAnimal_Agree_I fully understand the role Animal Care and Control plays in the communityAnimal_Agree_Animal Care and Control is a good source for responsible pet ownership informationAnimal_Effective_Licensing your petAnimal_Effective_Dogs off leashAnimal_Effective_Roaming catsAnimal_Effective_They poop, you scoopAnimal_Effective_Barking dogsAnimal_Effective_Number of animals per homeAnimal_Effective_Dog bitesAnimal_Yes_No_Euthanize all unwanted animalsAnimal_Yes_No_Euthanize all feral animalsAnimal_Yes_No_Help to save animalsAnimal_Yes_No_Reunite pets with ownersAnimal_Yes_No_Transfer unclaimed animals to the Edmonton Humane SocietyAnimal_Bylaw_Licensing a dog is a positive bylawAnimal_Bylaw_Licensing a cat is a positive bylawAnimal_Bylaw_It is easy and convenient to license my petAnimal_Bylaw_Licensing a dog is a money grabAnimal_Bylaw_Licensing a cat is a money grabAnimal_Bylaw_Licence fees help provide care for injured stray animalsAnimal_Bylaw_Licence fees are used to financially assist local pet rescuesAnimal_Bylaw_Licences help reunite owners and petsAnimal_Bylaw_Licence fees help support public safety through enforcement servicesAnimal_Bylaw_Licence fees play a role in animal control bylaw enforcementAnimal_Bylaw_Unlicensed animals are immediately euthanizedAnimal_Bylaw_I believe in pet licensingAnimal_enforcement_Licensing your petAnimal_enforcement_Dogs off leashAnimal_enforcement_Roaming catsAnimal_enforcement_They poop, you scoopAnimal_enforcement_Barking dogsAnimal_enforcement_Number of animals per homeAnimal_enforcement_Dog bitesAnimal_enforcement_City is not successful at enforcing animal care and control bylawsAnimal_enforcement_I don't know enough about this topic to answerAnimal_InteractionAnimal_InteractionType_Visited the web siteAnimal_InteractionType_Licensed my pet onlineAnimal_InteractionType_Licensed my pet in personAnimal_InteractionType_Issued a bylaw complaintAnimal_InteractionType_Searched for my lost petAnimal_InteractionType_Reunited with a petAnimal_InteractionType_Dropped off an animal or played a role in having an animal picked upAnimal_InteractionType_Borrowed a humane animal trapAnimal_InteractionType_Received a visit, warning or ticket from enforcementAnimal_InteractionType_WebCopy1_Licensed my pet onlineAnimal_InteractionType_WebCopy2_Licensed my pet in personAnimal_InteractionType_WebCopy3_Issued a bylaw complaintAnimal_InteractionType_WebCopy10_Searched for my lost petAnimal_InteractionType_WebCopy4_Reunited with a petAnimal_InteractionType_WebCopy5_Dropped off an animal or played a role in having an animal picked upAnimal_InteractionType_WebCopy6_Borrowing a humane animal trapAnimal_InteractionType_WebCopy7_Participated in an education/awareness eventAnimal_InteractionType_WebCopy8_Received a visit, warning or ticketAnimal_InteractionType_WebCopy9_Received notification in the mailAnimal_InteractionType_WebCopy11_OtherAnimal_Reward_Discounts, coupons from sponsorsAnimal_Reward_Notification of near-by sponsor dealsAnimal_Reward_Collection of AirMilesAnimal_Reward_Licence Renewal RemindersAnimal_Reward_Off leash park locatorAnimal_Reward_Lost pet notificationsAnimal_Reward_Discounts for pet friendly organizations in Edmonton and surrounding areasAnimal_Reward_PedometerAnimal_Reward_Use of the app, assists local pet rescues financiallyAnimal_Reward_Tracking system for pet's medical information, ID numbers, etc.Animal_Reward_I do not license my petAnimal_Reward_I don't own a petAnimal_Reward_Other (please specify)Animal_LoyaltyProgram_A value added rewards program attached to my pet licence would encourage me to license my petAnimal_LoyaltyProgram_Even with an already licensed pet, a rewards program is valuable to meAnimal_Info_Opportunity to ask questions and receive answersAnimal_Info_Pet bylaw informationAnimal_Info_Behind-the-scenes information (inner workings of the facility, staff members, special animal profiles)Animal_Info_Success storiesAnimal_Info_Pictures of lost animalsAnimal_Info_Event and promotional informationAnimal_Info_Pet educational informationAnimal_Info_Videos featuring animalsAnimal_Info_A tool for complaint managementAnimal_Info_I would not visit this pageAnimal_Info_I do not use FacebookAnimal_Info_Other (specify)OSTypeDeviceTypeBrowserTypeQ3_Own_Rent (Study: Profiling Questionnaire 2014)GENDER (Study: Profiling Questionnaire 2014)Q7_Children (Study: Profiling Questionnaire 2014)Q8_Born_Canada (Study: Profiling Questionnaire 2014)Q9a_Edmonton (Study: Profiling Questionnaire 2014)Q10_Own_Business (Study: Profiling Questionnaire 2014)Q11_Home_Language (Study: Profiling Questionnaire 2014)Q12_Employment_Status (Study: Profiling Questionnaire 2014)Q13_Volunteer (Study: Profiling Questionnaire 2014)Q14a_Primary_Transportation (Study: Profiling Questionnaire 2014)Q14b_Secondary_Transportation (Study: Profiling Questionnaire 2014)Q15_Household_Income (Study: Profiling Questionnaire 2014)Q16_Education (Study: Profiling Questionnaire 2014)Q17_City_Employee (Study: Profiling Questionnaire 2014)FSA (Study: Profiling Questionnaire 2014)Age_Rollup_Detailed (Study: Profiling Questionnaire 2014)
78411 December 2015December 11 2015000010001000003 Neither agree nor disagree4 Somewhat agree4 Somewhat agree2 Somewhat disagreeI don't know4 Somewhat effective2 Somewhat ineffective4 Somewhat effective3 Neutral4 Somewhat effectiveI don't knowI don't knowDon't knowDon't knowDon't knowYesDon't know4 Somewhat agree4 Somewhat agreeI don't know2 Somewhat disagree2 Somewhat disagreeI don't knowI don't know4 Somewhat agreeI don't knowI don't knowI don't know4 Somewhat agree000000001Yes0.00.00.00.00.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN4 Somewhat satisfied00001110000004 Somewhat agree4 Somewhat agree110100100000WindowsDesktopGoogle ChromeRentI prefer not to answerNoYesGreater than 5 yearsNoEnglishEmployed full-time (30+ hours a week)YesCar/truck/Van as DRIVERBicycle$50,000 to $59,999University undergraduate degreeNoT6G"25-29"
78511 December 2015December 11 2015100001011001004 Somewhat agree5 Strongly agree5 Strongly agree4 Somewhat agree5 Strongly agree4 Somewhat effectiveI don't knowI don't know4 Somewhat effective3 NeutralI don't knowI don't knowNoDon't knowYesYesYes5 Strongly agree5 Strongly agree5 Strongly agree1 Strongly disagree1 Strongly disagree5 Strongly agreeI don't know5 Strongly agree5 Strongly agree5 Strongly agree1 Strongly disagree5 Strongly agree110010100Yes1.01.00.00.00.00.01.00.00.05 Very SatisfiedNaNNaNNaNNaN5 Very SatisfiedNaNNaNNaNNaNNaN00000010010003 Neither agree nor disagree4 Somewhat agree111111101000AndroidPhoneSafariNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDid not answer
78611 December 2015December 11 201500000000000001I don't knowI don't know5 Strongly agree1 Strongly disagreeI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowDon't knowDon't knowDon't knowDon't knowDon't knowI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowI don't know000000001NoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0000000000010Don't know / NADon't know / NA000000000100WindowsDesktopFirefoxOwnMaleYesYesGreater than 5 yearsNoEnglishEmployed full-time (30+ hours a week)YesCar/truck/Van as DRIVERBicycle$150,000 and overUniversity undergraduate degreeNoT6C"40-44"
78712 December 2015December 12 2015110101001001004 Somewhat agree5 Strongly agree5 Strongly agree4 Somewhat agree5 Strongly agree3 Neutral3 Neutral4 Somewhat effective3 Neutral4 Somewhat effective3 Neutral4 Somewhat effectiveDon't knowDon't knowYesNoYes5 Strongly agree4 Somewhat agree5 Strongly agree1 Strongly disagree2 Somewhat disagree5 Strongly agree5 Strongly agree5 Strongly agree5 Strongly agree5 Strongly agree1 Strongly disagree4 Somewhat agree000000001NoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN00000000010004 Somewhat agree4 Somewhat agree001100000000WindowsDesktopGoogle ChromeRentFemaleNoYesGreater than 5 yearsNoEnglishEmployed full-time (30+ hours a week)YesPublic TransitOther (Specify)$60,000 to $79,999University undergraduate degreeNoT5K"60-64"
78813 December 2015December 13 2015000101001000004 Somewhat agree4 Somewhat agree4 Somewhat agree4 Somewhat agree4 Somewhat agree4 Somewhat effective4 Somewhat effective2 Somewhat ineffective4 Somewhat effective2 Somewhat ineffective2 Somewhat ineffective2 Somewhat ineffectiveDon't knowDon't knowYesYesYes4 Somewhat agree4 Somewhat agreeI don't know2 Somewhat disagree2 Somewhat disagree4 Somewhat agree4 Somewhat agree4 Somewhat agree4 Somewhat agree4 Somewhat agreeI don't know4 Somewhat agree000000001NoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0000000000010Don't know / NADon't know / NA000000000100WindowsDesktopGoogle ChromeNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDid not answer
78914 December 2015December 14 2015001000011000102 Somewhat disagree4 Somewhat agree4 Somewhat agree3 Neither agree nor disagree2 Somewhat disagree2 Somewhat ineffective1 Not at all effective1 Not at all effective1 Not at all effective4 Somewhat effective1 Not at all effective4 Somewhat effectiveDon't knowDon't knowYesDon't knowYes5 Strongly agree5 Strongly agree5 Strongly agree1 Strongly disagree1 Strongly disagree4 Somewhat agree3 Neither agree nor disagree5 Strongly agree4 Somewhat agree5 Strongly agree3 Neither agree nor disagree5 Strongly agree000010000Yes1.01.00.00.00.00.00.00.00.05 Very SatisfiedNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN00010110000003 Neither agree nor disagree4 Somewhat agree000000000010WindowsDesktopFirefoxOwnI prefer not to answerNoYesGreater than 5 yearsNoEnglishEmployed part-time (0-30 hours a week)YesCar/truck/Van as DRIVERBicycle$30,000 to $39,999Post-graduate degreeNoT5A"60-64"
79014 December 2015December 14 2015000001100000004 Somewhat agree4 Somewhat agree3 Neither agree nor disagree1 Strongly disagree3 Neither agree nor disagree3 Neutral2 Somewhat ineffective2 Somewhat ineffective2 Somewhat ineffective1 Not at all effective2 Somewhat ineffective3 NeutralDon't knowDon't knowDon't knowDon't knowDon't knowI don't know2 Somewhat disagreeI don't knowI don't know3 Neither agree nor disagree3 Neither agree nor disagreeI don't know3 Neither agree nor disagreeI don't knowI don't knowI don't knowI don't know000000100NoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN00000000000101 Strongly disagreeDon't know / NA000000000100WindowsDesktopInternet ExplorerOwnMaleYesYesGreater than 5 yearsNoEnglishEmployed full-time (30+ hours a week)YesCar/truck/Van as DRIVERPublic Transit$150,000 and overUniversity undergraduate degreeNoT5R"40-44"
79114 December 2015December 14 2015000011001000003 Neither agree nor disagreeI don't know3 Neither agree nor disagreeI don't knowI don't know3 NeutralI don't knowI don't knowI don't knowI don't knowI don't know4 Somewhat effectiveDon't knowDon't knowDon't knowYesDon't know4 Somewhat agree3 Neither agree nor disagree4 Somewhat agree3 Neither agree nor disagree3 Neither agree nor disagreeI don't knowI don't know4 Somewhat agreeI don't knowI don't knowI don't know3 Neither agree nor disagree000000001NoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN00000000000102 Somewhat disagree2 Somewhat disagree110001101001WindowsDesktopGoogle ChromeNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDid not answer
79215 December 2015December 15 2015001000100000005 Strongly agree4 Somewhat agree4 Somewhat agree1 Strongly disagree3 Neither agree nor disagree5 Very effective3 Neutral4 Somewhat effective2 Somewhat ineffective2 Somewhat ineffective5 Very effective5 Very effectiveDon't knowDon't knowDon't knowYesNo5 Strongly agree5 Strongly agree5 Strongly agree2 Somewhat disagree2 Somewhat disagreeI don't knowI don't know5 Strongly agree4 Somewhat agree1 Strongly disagree1 Strongly disagree5 Strongly agree100000100NoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN00100000010002 Somewhat disagree5 Strongly agree000000000100WindowsDesktopInternet ExplorerNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNDid not answer
79315 December 2015December 15 2015000001010000005 Strongly agree5 Strongly agree5 Strongly agree4 Somewhat agree3 Neither agree nor disagree4 Somewhat effective4 Somewhat effective2 Somewhat ineffective2 Somewhat ineffective3 Neutral2 Somewhat ineffective3 NeutralNoDon't knowYesYesDon't know5 Strongly agree5 Strongly agree5 Strongly agree1 Strongly disagree1 Strongly disagree4 Somewhat agree3 Neither agree nor disagree5 Strongly agree4 Somewhat agree4 Somewhat agree1 Strongly disagree5 Strongly agree110100100NoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN10001110000003 Neither agree nor disagree4 Somewhat agree000000000100WindowsDesktopGoogle ChromeOwnMaleNoYesGreater than 5 yearsNoEnglishEmployed full-time (30+ hours a week)NoOther (Specify)Bicycle$150,000 and overCollege / technical school graduateYesT6H"50-54"